Projects - User contributions [en]

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T12:32:13Z

A1715291:

[[Category:Projects]]
[[Category:Final Year Projects]]
[[Category:2019s2|25101]]
Nowadays, due to limitation resource (peak-oil) and CO2 pollution that been affecting climate changes are getting worse. Those factors are forcing engineers to ensure making good use of renewable energy to overcome those problems. After that, this also will lead to better development of renewable energy systems. Thus, the method of energy storage and energy transportation will be upgraded at no time that will increase the efficiency of renewable energy. This project also will be discussing regarding type pf chemical, the chemical reaction inside a battery and structure of the battery.

Unfortunately, there are several problems that need to be solved which are the need to determine what is the optimum parameters needed to improve short term benefits and long-term cost of the battery. Operators will need to determine cycles of the batteries which are State of Charge (SoC) and Depth of Discharge (DoD) to improve the performance of the battery and also the efficiency of the battery. At the same time, to determine a suitable life cycle of a certain battery, the operators also need to find the most efficient technology of battery to help to improve the performance of the battery. By deciding those parameters, will help to increase the State of Health (SoH) of the battery.

As a conclusion, this project will be divided into two main parts:

* Logging curve behaviors of batteries under the State of Charge (SoC) and Depth of Discharge (DoD) over a long period of time to estimate the State of Health (SoH) of the battery.

* To use the Simulink model to get data to be compared with historical data from the Australian power network to help in optimizing between short term and long-term benefits for the battery system.

== Introduction ==
In this project, there will be determined about the performance of the battery. There also will be researched about the detail of several types of batteries that been used in the household power industry. After that, there will also be testing regarding the cycle of batteries from State of Charge (SoC) and Depth of Charge (DoD). Thus, all those aspects also will be compared with existing products such as efficiency and energy density that been produced by the battery.

Furthermore, this project also will help to reduce the average power demand cost that is by comparing the data from AEMO website to determine when the exact time for the battery storage to discharge and charge. Based on the previous statement, this will be required to use a good controller system to make a good switching state toward battery storage.

=== Project team ===
==== Project students ====
* Mohammad Adib Akhmal Ahmad
* Wan Mohd Aqil Arfan Bin Wan Mohd Amal
* Jessyiana Anak Musa

==== Supervisors ====
* DR. Andrew Allison
* Prof. Dere Abbott

==== Advisors ====
*
*

=== Objectives ===
* Log behavior of batteries

* Estimate parameters to implement to Simulink battery model

* Literature review about battery aging

* Perform series simulations of batteries

* To extend life of battery

== Background ==
=== Existing Product ===

====Tesla Powerwall====

*Technology Used = Li-ion NMC

*Voltage output range = 350 - 450 V

*Maximum discharge rate = 3.3 kW

====Tesla Powerwall 2====

*Technology Used = Li-ion NMC - Panasonics

*Voltage output range = 230V

*Maximum discharge rate = 5.0 kW

====LG Chem RESU====

*Technology Used = Li-ion NMC

*Voltage output range = 51.8 VDC

====RESU IOH====

*Technology Used = Li-ion NMC

*Voltage output range = 350 - 450 VDC

====Sonnen Batteries ECO====

*Technology Used = Lithium LFP - Sony

== Method ==

== Results ==

== Conclusion ==

== References ==
[1] a, b, c, "Simple page", In Proceedings of the Conference of Simpleness, 2010.

[2] ...

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T12:25:59Z

A1715291:

[[Category:Projects]]
[[Category:Final Year Projects]]
[[Category:2019s2|25101]]
Nowadays, due to limitation resource (peak-oil) and CO2 pollution that been affecting climate changes are getting worse. Those factors are forcing engineers to ensure making good use of renewable energy to overcome those problems. After that, this also will lead to better development of renewable energy systems. Thus, the method of energy storage and energy transportation will be upgraded at no time that will increase the efficiency of renewable energy. This project also will be discussing regarding type pf chemical, the chemical reaction inside a battery and structure of the battery.

Unfortunately, there are several problems that need to be solved which are the need to determine what is the optimum parameters needed to improve short term benefits and long-term cost of the battery. Operators will need to determine cycles of the batteries which are State of Charge (SoC) and Depth of Discharge (DoD) to improve the performance of the battery and also the efficiency of the battery. At the same time, to determine a suitable life cycle of a certain battery, the operators also need to find the most efficient technology of battery to help to improve the performance of the battery. By deciding those parameters, will help to increase the State of Health (SoH) of the battery.

As a conclusion, this project will be divided into two main parts:

* Logging curve behaviors of batteries under the State of Charge (SoC) and Depth of Discharge (DoD) over a long period of time to estimate the State of Health (SoH) of the battery.

* To use the Simulink model to get data to be compared with historical data from the Australian power network to help in optimizing between short term and long-term benefits for the battery system.

== Introduction ==
In this project, there will be determined about the performance of the battery. There also will be researched about the detail of several types of batteries that been used in the household power industry. After that, there will also be testing regarding the cycle of batteries from State of Charge (SoC) and Depth of Charge (DoD). Thus, all those aspects also will be compared with existing products such as efficiency and energy density that been produced by the battery.

Furthermore, this project also will help to reduce the average power demand cost that is by comparing the data from AEMO website to determine when the exact time for the battery storage to discharge and charge. Based on the previous statement, this will be required to use a good controller system to make a good switching state toward battery storage.

=== Project team ===
==== Project students ====
* Mohammad Adib Akhmal Ahmad
* Wan Mohd Aqil Arfan Bin Wan Mohd Amal
* Jessyiana Anak Musa

==== Supervisors ====
* DR. Andrew Allison
* Prof. Dere Abbott

==== Advisors ====
*
*

=== Objectives ===
* Log behavior of batteries

* Estimate parameters to implement to Simulink battery model

* Literature review about battery aging

* Perform series simulations of batteries

* To extend life of battery

== Background ==
=== Existing Product ===

====Tesla Powerwall====

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 V

*'''Maximum discharge rate''' = 3.3 kW

====Tesla Powerwall 2====

*'''Technology Used''' = Li-ion NMC - Panasonics

*'''Voltage output range''' = 230V

*'''Maximum discharge rate''' = 5.0 kW

====LG Chem RESU====

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 51.8 VDC

====RESU IOH====

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 VDC

====Sonnen Batteries ECO====

*'''Technology Used''' = Lithium LFP - Sony

== Method ==

== Results ==

== Conclusion ==

== References ==
[1] a, b, c, "Simple page", In Proceedings of the Conference of Simpleness, 2010.

[2] ...

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T12:25:23Z

A1715291:

[[Category:Projects]]
[[Category:Final Year Projects]]
[[Category:2019s2|101]]
Nowadays, due to limitation resource (peak-oil) and CO2 pollution that been affecting climate changes are getting worse. Those factors are forcing engineers to ensure making good use of renewable energy to overcome those problems. After that, this also will lead to better development of renewable energy systems. Thus, the method of energy storage and energy transportation will be upgraded at no time that will increase the efficiency of renewable energy. This project also will be discussing regarding type pf chemical, the chemical reaction inside a battery and structure of the battery.

Unfortunately, there are several problems that need to be solved which are the need to determine what is the optimum parameters needed to improve short term benefits and long-term cost of the battery. Operators will need to determine cycles of the batteries which are State of Charge (SoC) and Depth of Discharge (DoD) to improve the performance of the battery and also the efficiency of the battery. At the same time, to determine a suitable life cycle of a certain battery, the operators also need to find the most efficient technology of battery to help to improve the performance of the battery. By deciding those parameters, will help to increase the State of Health (SoH) of the battery.

As a conclusion, this project will be divided into two main parts:

* Logging curve behaviors of batteries under the State of Charge (SoC) and Depth of Discharge (DoD) over a long period of time to estimate the State of Health (SoH) of the battery.

* To use the Simulink model to get data to be compared with historical data from the Australian power network to help in optimizing between short term and long-term benefits for the battery system.

== Introduction ==
In this project, there will be determined about the performance of the battery. There also will be researched about the detail of several types of batteries that been used in the household power industry. After that, there will also be testing regarding the cycle of batteries from State of Charge (SoC) and Depth of Charge (DoD). Thus, all those aspects also will be compared with existing products such as efficiency and energy density that been produced by the battery.

Furthermore, this project also will help to reduce the average power demand cost that is by comparing the data from AEMO website to determine when the exact time for the battery storage to discharge and charge. Based on the previous statement, this will be required to use a good controller system to make a good switching state toward battery storage.

=== Project team ===
==== Project students ====
* Mohammad Adib Akhmal Ahmad
* Wan Mohd Aqil Arfan Bin Wan Mohd Amal
* Jessyiana Anak Musa

==== Supervisors ====
* DR. Andrew Allison
* Prof. Dere Abbott

==== Advisors ====
*
*

=== Objectives ===
* Log behavior of batteries

* Estimate parameters to implement to Simulink battery model

* Literature review about battery aging

* Perform series simulations of batteries

* To extend life of battery

== Background ==
=== Existing Product ===

====Tesla Powerwall====

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 V

*'''Maximum discharge rate''' = 3.3 kW

====Tesla Powerwall 2====

*'''Technology Used''' = Li-ion NMC - Panasonics

*'''Voltage output range''' = 230V

*'''Maximum discharge rate''' = 5.0 kW

====LG Chem RESU====

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 51.8 VDC

====RESU IOH====

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 VDC

====Sonnen Batteries ECO====

*'''Technology Used''' = Lithium LFP - Sony

== Method ==

== Results ==

== Conclusion ==

== References ==
[1] a, b, c, "Simple page", In Proceedings of the Conference of Simpleness, 2010.

[2] ...

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T12:24:14Z

A1715291:

[[Category:Projects]]
[[Category:Final Year Projects]]
[[Category:2019s2-25101]]
Nowadays, due to limitation resource (peak-oil) and CO2 pollution that been affecting climate changes are getting worse. Those factors are forcing engineers to ensure making good use of renewable energy to overcome those problems. After that, this also will lead to better development of renewable energy systems. Thus, the method of energy storage and energy transportation will be upgraded at no time that will increase the efficiency of renewable energy. This project also will be discussing regarding type pf chemical, the chemical reaction inside a battery and structure of the battery.

Unfortunately, there are several problems that need to be solved which are the need to determine what is the optimum parameters needed to improve short term benefits and long-term cost of the battery. Operators will need to determine cycles of the batteries which are State of Charge (SoC) and Depth of Discharge (DoD) to improve the performance of the battery and also the efficiency of the battery. At the same time, to determine a suitable life cycle of a certain battery, the operators also need to find the most efficient technology of battery to help to improve the performance of the battery. By deciding those parameters, will help to increase the State of Health (SoH) of the battery.

As a conclusion, this project will be divided into two main parts:

* Logging curve behaviors of batteries under the State of Charge (SoC) and Depth of Discharge (DoD) over a long period of time to estimate the State of Health (SoH) of the battery.

* To use the Simulink model to get data to be compared with historical data from the Australian power network to help in optimizing between short term and long-term benefits for the battery system.

== Introduction ==
In this project, there will be determined about the performance of the battery. There also will be researched about the detail of several types of batteries that been used in the household power industry. After that, there will also be testing regarding the cycle of batteries from State of Charge (SoC) and Depth of Charge (DoD). Thus, all those aspects also will be compared with existing products such as efficiency and energy density that been produced by the battery.

Furthermore, this project also will help to reduce the average power demand cost that is by comparing the data from AEMO website to determine when the exact time for the battery storage to discharge and charge. Based on the previous statement, this will be required to use a good controller system to make a good switching state toward battery storage.

=== Project team ===
==== Project students ====
* Mohammad Adib Akhmal Ahmad
* Wan Mohd Aqil Arfan Bin Wan Mohd Amal
* Jessyiana Anak Musa

==== Supervisors ====
* DR. Andrew Allison
* Prof. Dere Abbott

==== Advisors ====
*
*

=== Objectives ===
* Log behavior of batteries

* Estimate parameters to implement to Simulink battery model

* Literature review about battery aging

* Perform series simulations of batteries

* To extend life of battery

== Background ==
=== Existing Product ===

====Tesla Powerwall====

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 V

*'''Maximum discharge rate''' = 3.3 kW

====Tesla Powerwall 2====

*'''Technology Used''' = Li-ion NMC - Panasonics

*'''Voltage output range''' = 230V

*'''Maximum discharge rate''' = 5.0 kW

====LG Chem RESU====

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 51.8 VDC

====RESU IOH====

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 VDC

====Sonnen Batteries ECO====

*'''Technology Used''' = Lithium LFP - Sony

== Method ==

== Results ==

== Conclusion ==

== References ==
[1] a, b, c, "Simple page", In Proceedings of the Conference of Simpleness, 2010.

[2] ...

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T12:20:57Z

A1715291:

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T12:18:28Z

A1715291:

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T12:17:17Z

A1715291:

[[Category:Projects]]
[[Category:Final Year Projects]]
[[Category:2019s2|101]]
Nowadays, due to limitation resource (peak-oil) and CO2 pollution that been affecting climate changes are getting worse. Those factors are forcing engineers to ensure making good use of renewable energy to overcome those problems. After that, this also will lead to better development of renewable energy systems. Thus, the method of energy storage and energy transportation will be upgraded at no time that will increase the efficiency of renewable energy. This project also will be discussing regarding type pf chemical, the chemical reaction inside a battery and structure of the battery.

Unfortunately, there are several problems that need to be solved which are the need to determine what is the optimum parameters needed to improve short term benefits and long-term cost of the battery. Operators will need to determine cycles of the batteries which are State of Charge (SoC) and Depth of Discharge (DoD) to improve the performance of the battery and also the efficiency of the battery. At the same time, to determine a suitable life cycle of a certain battery, the operators also need to find the most efficient technology of battery to help to improve the performance of the battery. By deciding those parameters, will help to increase the State of Health (SoH) of the battery.

As a conclusion, this project will be divided into two main parts:

* Logging curve behaviors of batteries under the State of Charge (SoC) and Depth of Discharge (DoD) over a long period of time to estimate the State of Health (SoH) of the battery.

* To use the Simulink model to get data to be compared with historical data from the Australian power network to help in optimizing between short term and long-term benefits for the battery system.

== Introduction ==
In this project, there will be determined about the performance of the battery. There also will be researched about the detail of several types of batteries that been used in the household power industry. After that, there will also be testing regarding the cycle of batteries from State of Charge (SoC) and Depth of Charge (DoD). Thus, all those aspects also will be compared with existing products such as efficiency and energy density that been produced by the battery.

Furthermore, this project also will help to reduce the average power demand cost that is by comparing the data from AEMO website to determine when the exact time for the battery storage to discharge and charge. Based on the previous statement, this will be required to use a good controller system to make a good switching state toward battery storage.

=== Project team ===
==== Project students ====
* <Mohammad Adib Akhmal Ahmad>
* <Wan Mohd Aqil Arfan Bin Wan Mohd Amal>
* <Jessyiana Anak Musa>

==== Supervisors ====
* <DR. Andrew Allison>
* <Prof. Dere Abbott>

==== Advisors ====
*
*

=== Objectives ===
* Log behavior of batteries

* Estimate parameters to implement to Simulink battery model

* Literature review about battery aging

* Perform series simulations of batteries

* To extend life of battery

== Background ==
=== Existing Product ===

====Tesla Powerwall====

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 V

*'''Maximum discharge rate''' = 3.3 kW

====Tesla Powerwall 2====

*'''Technology Used''' = Li-ion NMC - Panasonics

*'''Voltage output range''' = 230V

*'''Maximum discharge rate''' = 5.0 kW

====LG Chem RESU====

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 51.8 VDC

====RESU IOH====

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 VDC

====Sonnen Batteries ECO====

*'''Technology Used''' = Lithium LFP - Sony

== Method ==

== Results ==

== Conclusion ==

== References ==
[1] a, b, c, "Simple page", In Proceedings of the Conference of Simpleness, 2010.

[2] ...

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T06:28:32Z

A1715291: /* Tesla Powerwall */

== Abstract ==
Nowadays, due to limitation resource (peak-oil) and CO2 pollution that been affecting climate changes are getting worse. Those factors are forcing engineers to ensure making good use of renewable energy to overcome those problems. After that, this also will lead to better development of renewable energy systems. Thus, the method of energy storage and energy transportation will be upgraded at no time that will increase the efficiency of renewable energy. This project also will be discussing regarding type pf chemical, the chemical reaction inside a battery and also structure of the battery.

Unfortunately, there are several problems that need to be solved which are the need to determine what is the optimum parameters needed to improve short term benefits and long term cost of the battery. Operators will need to determine cycles of the batteries which are State of Charge (SoC) and also Depth of Discharge (DoD) to improve the performance of the battery and also the efficiency of the battery. At the same time, to determine a suitable life cycle of a certain battery, the operators also need to find the most efficient technology of battery to help to improve the performance of the battery. By deciding those parameters, will help to increase the State of Health (SoH) of the battery.

As a conclusion, this project will be divided into two main parts:

* Logging curve behaviors of batteries under the State of Charge (SoC) and Depth of Discharge (DoD) over a long period of time to estimate the State of Health (SoH) of the battery.

* To use the Simulink model to get data to be compared with historical data from the Australian power network to help in optimizing between short term and long term benefits for the battery system.

== Introduction ==

In this project, there will be determined about the performance of the battery. There also will be researched about the detail of several types of batteries that been used in the household power industry. After that, There will also be testing regarding the cycle of batteries from State of Charge (SoC) and Depth of Charge (DoD). Thus, all those aspects also will be compared with existing products such as efficiency and also energy density that been produced by the battery.

Furthermore, this project also will help to reduce the average power demand cost that is by comparing the data from AEMO website to determine when the exact time for the battery storage to discharge and charge. Based on the previous statement, this will be required o use a good controller system to make a good switching state toward battery storage.

== Aims ==
* Log behavior of batteries

* Estimate parameters to implement to Simulink battery model

* Literature review about battery aging

* Perform series simulations of batteries

* To extend life of battery

== Existing Product ==

==='''Tesla Powerwall '''===

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 V

*'''Maximum discharge rate''' = 3.3 kW

==='''Tesla Powerwall 2'''===

*'''Technology Used''' = Li-ion NMC - Panasonics

*'''Voltage output range''' = 230V

*'''Maximum discharge rate''' = 5.0 kW

==='''LG Chem RESU'''===

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 51.8 VDC

==='''RESU IOH'''===

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 VDC

==='''Sonnen Batteries ECO'''===

*'''Technology Used''' = Lithium LFP - Sony

== Results ==

== Discussion ==

== Conclusion ==

== References ==

== Team Members ==
* Mohammad Adib Akhmal Ahmad

* Wan Mohd Aqil Arfan bin Wan Mohd Amal

* Jessyiana Anak Musa

== Supervisors ==
* Dr. Andrew Allison

* Prof. Derek Abbott

File:Resize.jpg

2019-09-19T06:23:45Z

A1715291:

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T06:23:18Z

A1715291:

[[File:resize.jpg]]
== Abstract ==
Nowadays, due to limitation resource (peak-oil) and CO2 pollution that been affecting climate changes are getting worse. Those factors are forcing engineers to ensure making good use of renewable energy to overcome those problems. After that, this also will lead to better development of renewable energy systems. Thus, the method of energy storage and energy transportation will be upgraded at no time that will increase the efficiency of renewable energy. This project also will be discussing regarding type pf chemical, the chemical reaction inside a battery and also structure of the battery.

Unfortunately, there are several problems that need to be solved which are the need to determine what is the optimum parameters needed to improve short term benefits and long term cost of the battery. Operators will need to determine cycles of the batteries which are State of Charge (SoC) and also Depth of Discharge (DoD) to improve the performance of the battery and also the efficiency of the battery. At the same time, to determine a suitable life cycle of a certain battery, the operators also need to find the most efficient technology of battery to help to improve the performance of the battery. By deciding those parameters, will help to increase the State of Health (SoH) of the battery.

As a conclusion, this project will be divided into two main parts:

* Logging curve behaviors of batteries under the State of Charge (SoC) and Depth of Discharge (DoD) over a long period of time to estimate the State of Health (SoH) of the battery.

* To use the Simulink model to get data to be compared with historical data from the Australian power network to help in optimizing between short term and long term benefits for the battery system.

== Introduction ==

In this project, there will be determined about the performance of the battery. There also will be researched about the detail of several types of batteries that been used in the household power industry. After that, There will also be testing regarding the cycle of batteries from State of Charge (SoC) and Depth of Charge (DoD). Thus, all those aspects also will be compared with existing products such as efficiency and also energy density that been produced by the battery.

Furthermore, this project also will help to reduce the average power demand cost that is by comparing the data from AEMO website to determine when the exact time for the battery storage to discharge and charge. Based on the previous statement, this will be required o use a good controller system to make a good switching state toward battery storage.

== Aims ==
* Log behavior of batteries

* Estimate parameters to implement to Simulink battery model

* Literature review about battery aging

* Perform series simulations of batteries

* To extend life of battery

== Existing Product ==

==='''Tesla Powerwall '''===

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 V

*'''Maximum discharge rate''' = 3.3 kW

==='''Tesla Powerwall 2'''===

*'''Technology Used''' = Li-ion NMC - Panasonics

*'''Voltage output range''' = 230V

*'''Maximum discharge rate''' = 5.0 kW

==='''LG Chem RESU'''===

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 51.8 VDC

==='''RESU IOH'''===

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 VDC

==='''Sonnen Batteries ECO'''===

*'''Technology Used''' = Lithium LFP - Sony

== Results ==

== Discussion ==

== Conclusion ==

== References ==

== Team Members ==
* Mohammad Adib Akhmal Ahmad

* Wan Mohd Aqil Arfan bin Wan Mohd Amal

* Jessyiana Anak Musa

== Supervisors ==
* Dr. Andrew Allison

* Prof. Derek Abbott

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T06:19:59Z

A1715291:

== Abstract ==
Nowadays, due to limitation resource (peak-oil) and CO2 pollution that been affecting climate changes are getting worse. Those factors are forcing engineers to ensure making good use of renewable energy to overcome those problems. After that, this also will lead to better development of renewable energy systems. Thus, the method of energy storage and energy transportation will be upgraded at no time that will increase the efficiency of renewable energy. This project also will be discussing regarding type pf chemical, the chemical reaction inside a battery and also structure of the battery.

Unfortunately, there are several problems that need to be solved which are the need to determine what is the optimum parameters needed to improve short term benefits and long term cost of the battery. Operators will need to determine cycles of the batteries which are State of Charge (SoC) and also Depth of Discharge (DoD) to improve the performance of the battery and also the efficiency of the battery. At the same time, to determine a suitable life cycle of a certain battery, the operators also need to find the most efficient technology of battery to help to improve the performance of the battery. By deciding those parameters, will help to increase the State of Health (SoH) of the battery.

As a conclusion, this project will be divided into two main parts:

1) Logging curve behaviors of batteries under the State of Charge (SoC) and Depth of Discharge (DoD) over a long period of time to estimate the State of Health (SoH) of the battery.

2) To use the Simulink model to get data to be compared with historical data from the Australian power network to help in optimizing between short term and long term benefits for the battery system.

== Introduction ==

In this project, there will be determined about the performance of the battery. There also will be researched about the detail of several types of batteries that been used in the household power industry. After that, There will also be testing regarding the cycle of batteries from State of Charge (SoC) and Depth of Charge (DoD). Thus, all those aspects also will be compared with existing products such as efficiency and also energy density that been produced by the battery.

Furthermore, this project also will help to reduce the average power demand cost that is by comparing the data from AEMO website to determine when the exact time for the battery storage to discharge and charge. Based on the previous statement, this will be required o use a good controller system to make a good switching state toward battery storage.

== Aims ==
1) Log behavior of batteries

2) Estimate parameters to implement to Simulink battery model

3) Literature review about battery aging

4) Perform series simulations of batteries

5) To extend life of battery

== Existing Product ==

==='''Tesla Powerwall '''===

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 V

*'''Maximum discharge rate''' = 3.3 kW

==='''Tesla Powerwall 2'''===

*'''Technology Used''' = Li-ion NMC - Panasonics

*'''Voltage output range''' = 230V

*'''Maximum discharge rate''' = 5.0 kW

==='''LG Chem RESU'''===

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 51.8 VDC

==='''RESU IOH'''===

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 VDC

==='''Sonnen Batteries ECO'''===

*'''Technology Used''' = Lithium LFP - Sony

== Results ==

== Discussion ==

== Conclusion ==

== References ==

== Team Members ==
1) Mohammad Adib Akhmal Ahmad

2) Wan Mohd Aqil Arfan bin Wan Mohd Amal

3)Jessyiana Anak Musa

== Supervisors ==
1) Dr. Andrew Allison

2) Prof. Derek Abbott

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T06:19:07Z

A1715291:

== Abstract ==
Nowadays, due to limitation resource (peak-oil) and CO2 pollution that been affecting climate changes are getting worse. Those factors are forcing engineers to ensure making good use of renewable energy to overcome those problems. After that, this also will lead to better development of renewable energy systems. Thus, the method of energy storage and energy transportation will be upgraded at no time that will increase the efficiency of renewable energy. This project also will be discussing regarding type pf chemical, the chemical reaction inside a battery and also structure of the battery.

Unfortunately, there are several problems that need to be solved which are the need to determine what is the optimum parameters needed to improve short term benefits and long term cost of the battery. Operators will need to determine cycles of the batteries which are State of Charge (SoC) and also Depth of Discharge (DoD) to improve the performance of the battery and also the efficiency of the battery. At the same time, to determine a suitable life cycle of a certain battery, the operators also need to find the most efficient technology of battery to help to improve the performance of the battery. By deciding those parameters, will help to increase the State of Health (SoH) of the battery.

As a conclusion, this project will be divided into two main parts:

1) Logging curve behaviors of batteries under the State of Charge (SoC) and Depth of Discharge (DoD) over a long period of time to estimate the State of Health (SoH) of the battery.

2) To use the Simulink model to get data to be compared with historical data from the Australian power network to help in optimizing between short term and long term benefits for the battery system.

== Introduction ==

In this project, there will be determined about the performance of the battery. There also will be researched about the detail of several types of batteries that been used in the household power industry. After that, There will also be testing regarding the cycle of batteries from State of Charge (SoC) and Depth of Charge (DoD). Thus, all those aspects also will be compared with existing products such as efficiency and also energy density that been produced by the battery.

Furthermore, this project also will help to reduce the average power demand cost that is by comparing the data from AEMO website to determine when the exact time for the battery storage to discharge and charge. Based on the previous statement, this will be required o use a good controller system to make a good switching state toward battery storage.

== Aims ==
1) Log behavior of batteries

2) Estimate parameters to implement to Simulink battery model

3) Literature review about battery aging

4) Perform series simulations of batteries

5) To extend life of battery

== Existing Product ==

=== '''Tesla Powerwall '''===

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 V

*'''Maximum discharge rate''' = 3.3 kW

2) '''Tesla Powerwall 2'''

*'''Technology Used''' = Li-ion NMC - Panasonics

*'''Voltage output range''' = 230V

*'''Maximum discharge rate''' = 5.0 kW

3) '''LG Chem RESU'''

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 51.8 VDC

4) RESU IOH

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 VDC

5) Sonnen Batteries ECO

*'''Technology Used''' = Lithium LFP - Sony

== Results ==

== Discussion ==

== Conclusion ==

== References ==

== Team Members ==
1) Mohammad Adib Akhmal Ahmad

2) Wan Mohd Aqil Arfan bin Wan Mohd Amal

3)Jessyiana Anak Musa

== Supervisors ==
1) Dr. Andrew Allison

2) Prof. Derek Abbott

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T06:17:51Z

A1715291:

== Abstract ==
Nowadays, due to limitation resource (peak-oil) and CO2 pollution that been affecting climate changes are getting worse. Those factors are forcing engineers to ensure making good use of renewable energy to overcome those problems. After that, this also will lead to better development of renewable energy systems. Thus, the method of energy storage and energy transportation will be upgraded at no time that will increase the efficiency of renewable energy. This project also will be discussing regarding type pf chemical, the chemical reaction inside a battery and also structure of the battery.

Unfortunately, there are several problems that need to be solved which are the need to determine what is the optimum parameters needed to improve short term benefits and long term cost of the battery. Operators will need to determine cycles of the batteries which are State of Charge (SoC) and also Depth of Discharge (DoD) to improve the performance of the battery and also the efficiency of the battery. At the same time, to determine a suitable life cycle of a certain battery, the operators also need to find the most efficient technology of battery to help to improve the performance of the battery. By deciding those parameters, will help to increase the State of Health (SoH) of the battery.

As a conclusion, this project will be divided into two main parts:

1) Logging curve behaviors of batteries under the State of Charge (SoC) and Depth of Discharge (DoD) over a long period of time to estimate the State of Health (SoH) of the battery.

2) To use the Simulink model to get data to be compared with historical data from the Australian power network to help in optimizing between short term and long term benefits for the battery system.

== Introduction ==

In this project, there will be determined about the performance of the battery. There also will be researched about the detail of several types of batteries that been used in the household power industry. After that, There will also be testing regarding the cycle of batteries from State of Charge (SoC) and Depth of Charge (DoD). Thus, all those aspects also will be compared with existing products such as efficiency and also energy density that been produced by the battery.

Furthermore, this project also will help to reduce the average power demand cost that is by comparing the data from AEMO website to determine when the exact time for the battery storage to discharge and charge. Based on the previous statement, this will be required o use a good controller system to make a good switching state toward battery storage.

== Aims ==
1) Log behavior of batteries

2) Estimate parameters to implement to Simulink battery model

3) Literature review about battery aging

4) Perform series simulations of batteries

5) To extend life of battery

== Existing Product ==

4.1 '''Tesla Powerwall '''

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 V

*'''Maximum discharge rate''' = 3.3 kW

2) '''Tesla Powerwall 2'''

*'''Technology Used''' = Li-ion NMC - Panasonics

*'''Voltage output range''' = 230V

*'''Maximum discharge rate''' = 5.0 kW

3) '''LG Chem RESU'''

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 51.8 VDC

4) RESU IOH

*'''Technology Used''' = Li-ion NMC

*'''Voltage output range''' = 350 - 450 VDC

5) Sonnen Batteries ECO

*'''Technology Used''' = Lithium LFP - Sony

== Results ==

== Discussion ==

== Conclusion ==

== References ==

== Team Members ==
1) Mohammad Adib Akhmal Ahmad

2) Wan Mohd Aqil Arfan bin Wan Mohd Amal

3)Jessyiana Anak Musa

== Supervisors ==
1) Dr. Andrew Allison

2) Prof. Derek Abbott

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T05:33:00Z

A1715291:

== Description ==
Nowadays, due to limitation resource (peak-oil) and CO2 pollution that been affecting climate changes are getting worse. Those factors are forcing engineers to ensure making good use of renewable energy to overcome those problems. After that, this also will lead to better development of renewable energy systems. Thus, the method of energy storage and energy transportation will be upgraded at no time that will increase the efficiency of renewable energy. This project also will be discussing regarding type pf chemical, the chemical reaction inside a battery and also structure of the battery.

Unfortunately, there are several problems that need to be solved which are the need to determine what is the optimum parameters needed to improve short term benefits and long term cost of the battery. Operators will need to determine cycles of the batteries which are State of Charge (SoC) and also Depth of Discharge (DoD) to improve the performance of the battery and also the efficiency of the battery. At the same time, to determine a suitable life cycle of a certain battery, the operators also need to find the most efficient technology of battery to help to improve the performance of the battery. By deciding those parameters, will help to increase the State of Health (SoH) of the battery.

As a conclusion, this project will be divided into two main parts:

1) Logging curve behaviors of batteries under the State of Charge (SoC) and Depth of Discharge (DoD) over a long period of time to estimate the State of Health (SoH) of the battery.

2) To use the Simulink model to get data to be compared with historical data from the Australian power network to help in optimizing between short term and long term benefits for the battery system.

== Existing Product ==
1) '''Tesla Powerwall '''

'''Technology Used''' = Li-ion NMC

'''Voltage output range''' = 350 - 450 V

'''Maximum discharge rate''' = 3.3 kW

2) '''Tesla Powerwall 2'''

'''Technology Used''' = Li-ion NMC - Panasonics

'''Voltage output range''' = 230V

'''Maximum discharge rate''' = 5.0 kW

3) '''LG Chem RESU'''

'''Technology Used''' = Li-ion NMC

'''Voltage output range''' = 51.8 VDC

4) RESU IOH

'''Technology Used''' = Li-ion NMC

'''Voltage output range''' = 350 - 450 VDC

5) Sonnen Batteries ECO

'''Technology Used''' = Lithium LFP - Sony

== Supervisor ==
1) Dr. Andrew Allison

2) Prof. Derek Abbott

== Teammates ==
1) Mohammad Adib Akhmal Ahmad

2) Wan Mohd Aqil Arfan bin Wan Mohd Amal

3)Jessyiana Anak Musa

Projects:2019s2-25101 Logging of Battery Performance and Modelling of Batteries

2019-09-19T05:32:00Z

A1715291:

[[Category:Projects]]
[[Category:Final Year Projects]]
[[Category:2019s2|25101]]
== Description ==
Nowadays, due to limitation resource (peak-oil) and CO2 pollution that been affecting climate changes are getting worse. Those factors are forcing engineers to ensure making good use of renewable energy to overcome those problems. After that, this also will lead to better development of renewable energy systems. Thus, the method of energy storage and energy transportation will be upgraded at no time that will increase the efficiency of renewable energy. This project also will be discussing regarding type pf chemical, the chemical reaction inside a battery and also structure of the battery.

Unfortunately, there are several problems that need to be solved which are the need to determine what is the optimum parameters needed to improve short term benefits and long term cost of the battery. Operators will need to determine cycles of the batteries which are State of Charge (SoC) and also Depth of Discharge (DoD) to improve the performance of the battery and also the efficiency of the battery. At the same time, to determine a suitable life cycle of a certain battery, the operators also need to find the most efficient technology of battery to help to improve the performance of the battery. By deciding those parameters, will help to increase the State of Health (SoH) of the battery.

As a conclusion, this project will be divided into two main parts:

1) Logging curve behaviors of batteries under the State of Charge (SoC) and Depth of Discharge (DoD) over a long period of time to estimate the State of Health (SoH) of the battery.

2) To use the Simulink model to get data to be compared with historical data from the Australian power network to help in optimizing between short term and long term benefits for the battery system.

== Existing Product ==
1) '''Tesla Powerwall '''

'''Technology Used''' = Li-ion NMC

'''Voltage output range''' = 350 - 450 V

'''Maximum discharge rate''' = 3.3 kW

2) '''Tesla Powerwall 2'''

'''Technology Used''' = Li-ion NMC - Panasonics

'''Voltage output range''' = 230V

'''Maximum discharge rate''' = 5.0 kW

3) '''LG Chem RESU'''

'''Technology Used''' = Li-ion NMC

'''Voltage output range''' = 51.8 VDC

4) RESU IOH

'''Technology Used''' = Li-ion NMC

'''Voltage output range''' = 350 - 450 VDC

5) Sonnen Batteries ECO

'''Technology Used''' = Lithium LFP - Sony

== Supervisor ==
1) Dr. Andrew Allison

2) Prof. Derek Abbott

== Teammates ==
1) Mohammad Adib Akhmal Ahmad

2) Wan Mohd Aqil Arfan bin Wan Mohd Amal

3)Jessyiana Anak Musa