DEVELOPMENT OF SMART BATTERY MANAGEMENT SYSTEM ARCHITECTURE MODEL FOR ENERGY STORAGE CONDITION MONITORING AND IMPROVEMENT
Battery management system (SMB) is required to handle operating dynamics, performance improvement and to extend the useful life of battery energy storage system (BESS).The charging or discharging process of BESS outside of safe operating areas (SOA) can reduce performance and shorten battery usefu...
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Battery management system (SMB) is required to handle operating dynamics, performance improvement and to extend the useful life of battery energy storage system (BESS).The charging or discharging process of BESS outside of safe operating areas (SOA) can reduce performance and shorten battery usefull life. The challenge is how to accurately estimate the state of the BESS based on the measurement of the parameters of each battery cell in large numbers in series parallel arrangement. In real operating conditions, this arrangement can cause problems in voltage or temperature differences between battery cells and will produce heat during the charging or discharging cycles at high current levels. Over time, these conditions can reduce the usefull lifetime of the BESS.
As an infrastructure of smart grid, BESS should become even smarter in the futurecompared to the past which is usually operated with the concept of run to fail operation. Smart gridis complex system where various systems interact and influence each other. Smart microgrid is one of the systems to integrate renewable energy generations, BESS, electricity grids and electricity loads. The main problem is how a BMS on the BESS can be integrated into a smart microgrid system. ABMS framework is needed to integrate BESS to a smart microgrid so that it is easy to manage, flexible to develop and can provide the right information for design, operation and maintenance.
In this research, a frameworkof smart battery management system architechtural model (SBMSAM) has been developed for condition monitoring and improvement the BESS in smart microgrid aplication. The SBMSAMconsists of five interoperability layers which are Business, Functional, Information, Communication, and Components Layer. Each layer explains the interaction of the BMS's to perform the it’s functionality. The BMS’s condition monitoring function can be used for failure indication, diagnostic and root cause analysis so the corrections and recommendations can be made to avoid more severe failures.
The BMS’s component layer has been developed with a modular configuration consisting of cellboards, local module for data acquisition, central module using an embedded system for database services. In functional layer,algoritm for monitoring, protection, state estimation, thermal management, active cell balancing has been developed. The State Of Charge(SOC) estimation was carried out for lead acid and lithium batteries using the coulombcounting and support vector regression methods. In the communication layers has been developed algoritm for onewire protocol on cell boards, utilization of SMA-COM, Modbus and TCP/ IP data communication from local modules to central module.
The BMS’s interoperability layer has been implemented for condition monitoring and improvement of BESS on smart microgrid which is rated at level 4 (optimization) based on MASBMC criteria. The condition monitoring algorithm was developed, starting from data acquisition, data communication, database and state estimation of BESS that were implemented on embedded systems. The condition monitoring function has been able to measure and store battery condition parameters from 14 February 2014 to 24 January 2019 with 2,125,004 data with 82% of data availability. The condition monitoring function has succeeded in showing unbalanced voltage and temperature, and also used to analyze the deterioration of battery conditions. Even though the batteries have the same type, characteristics and were treated the same, the result showsthere weredifference responces in real operating condition.
The BESS’s performance improvement on smart microgrid system was carried out based on an analysis of capacity degradation, voltage and temperature rate of changes and the BMS parameter correction was carried out to extend usefull lifetime. The results of the condition monitoring analysis of BESS for 28 days with one minute sampling time, the battery temperature changes in string 1 #3 and #4 are very sensitive to voltage changes during charging or discharging proses. There is a relationship between the voltage rate of change and temperaturerate of change. The acceptable temperature and voltage rate of changes in BESS operation condition is below 0.5oC per minute and below 3.0V per minute on each battery. By making correction to the BMS operating parameters, the BESS’s usefull lifetime can be extended from 448 days to 1088 days or 2.43 times, and by replacing one battery, the BESS’s overall usefull lifetime can be extended to 1456 days until the end of the deterioration point where the BESS can't be operate anymore on smart microgrid.
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Nashirul Haq, Irsyad |
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Nashirul Haq, Irsyad DEVELOPMENT OF SMART BATTERY MANAGEMENT SYSTEM ARCHITECTURE MODEL FOR ENERGY STORAGE CONDITION MONITORING AND IMPROVEMENT |
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Nashirul Haq, Irsyad |
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Nashirul Haq, Irsyad |
title |
DEVELOPMENT OF SMART BATTERY MANAGEMENT SYSTEM ARCHITECTURE MODEL FOR ENERGY STORAGE CONDITION MONITORING AND IMPROVEMENT |
title_short |
DEVELOPMENT OF SMART BATTERY MANAGEMENT SYSTEM ARCHITECTURE MODEL FOR ENERGY STORAGE CONDITION MONITORING AND IMPROVEMENT |
title_full |
DEVELOPMENT OF SMART BATTERY MANAGEMENT SYSTEM ARCHITECTURE MODEL FOR ENERGY STORAGE CONDITION MONITORING AND IMPROVEMENT |
title_fullStr |
DEVELOPMENT OF SMART BATTERY MANAGEMENT SYSTEM ARCHITECTURE MODEL FOR ENERGY STORAGE CONDITION MONITORING AND IMPROVEMENT |
title_full_unstemmed |
DEVELOPMENT OF SMART BATTERY MANAGEMENT SYSTEM ARCHITECTURE MODEL FOR ENERGY STORAGE CONDITION MONITORING AND IMPROVEMENT |
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development of smart battery management system architecture model for energy storage condition monitoring and improvement |
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id-itb.:399602019-06-28T14:40:40ZDEVELOPMENT OF SMART BATTERY MANAGEMENT SYSTEM ARCHITECTURE MODEL FOR ENERGY STORAGE CONDITION MONITORING AND IMPROVEMENT Nashirul Haq, Irsyad Indonesia Dissertations battery energy storage system, battery management system, performance improvement, architechture model, smart microgrid INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/39960 Battery management system (SMB) is required to handle operating dynamics, performance improvement and to extend the useful life of battery energy storage system (BESS).The charging or discharging process of BESS outside of safe operating areas (SOA) can reduce performance and shorten battery usefull life. The challenge is how to accurately estimate the state of the BESS based on the measurement of the parameters of each battery cell in large numbers in series parallel arrangement. In real operating conditions, this arrangement can cause problems in voltage or temperature differences between battery cells and will produce heat during the charging or discharging cycles at high current levels. Over time, these conditions can reduce the usefull lifetime of the BESS. As an infrastructure of smart grid, BESS should become even smarter in the futurecompared to the past which is usually operated with the concept of run to fail operation. Smart gridis complex system where various systems interact and influence each other. Smart microgrid is one of the systems to integrate renewable energy generations, BESS, electricity grids and electricity loads. The main problem is how a BMS on the BESS can be integrated into a smart microgrid system. ABMS framework is needed to integrate BESS to a smart microgrid so that it is easy to manage, flexible to develop and can provide the right information for design, operation and maintenance. In this research, a frameworkof smart battery management system architechtural model (SBMSAM) has been developed for condition monitoring and improvement the BESS in smart microgrid aplication. The SBMSAMconsists of five interoperability layers which are Business, Functional, Information, Communication, and Components Layer. Each layer explains the interaction of the BMS's to perform the it’s functionality. The BMS’s condition monitoring function can be used for failure indication, diagnostic and root cause analysis so the corrections and recommendations can be made to avoid more severe failures. The BMS’s component layer has been developed with a modular configuration consisting of cellboards, local module for data acquisition, central module using an embedded system for database services. In functional layer,algoritm for monitoring, protection, state estimation, thermal management, active cell balancing has been developed. The State Of Charge(SOC) estimation was carried out for lead acid and lithium batteries using the coulombcounting and support vector regression methods. In the communication layers has been developed algoritm for onewire protocol on cell boards, utilization of SMA-COM, Modbus and TCP/ IP data communication from local modules to central module. The BMS’s interoperability layer has been implemented for condition monitoring and improvement of BESS on smart microgrid which is rated at level 4 (optimization) based on MASBMC criteria. The condition monitoring algorithm was developed, starting from data acquisition, data communication, database and state estimation of BESS that were implemented on embedded systems. The condition monitoring function has been able to measure and store battery condition parameters from 14 February 2014 to 24 January 2019 with 2,125,004 data with 82% of data availability. The condition monitoring function has succeeded in showing unbalanced voltage and temperature, and also used to analyze the deterioration of battery conditions. Even though the batteries have the same type, characteristics and were treated the same, the result showsthere weredifference responces in real operating condition. The BESS’s performance improvement on smart microgrid system was carried out based on an analysis of capacity degradation, voltage and temperature rate of changes and the BMS parameter correction was carried out to extend usefull lifetime. The results of the condition monitoring analysis of BESS for 28 days with one minute sampling time, the battery temperature changes in string 1 #3 and #4 are very sensitive to voltage changes during charging or discharging proses. There is a relationship between the voltage rate of change and temperaturerate of change. The acceptable temperature and voltage rate of changes in BESS operation condition is below 0.5oC per minute and below 3.0V per minute on each battery. By making correction to the BMS operating parameters, the BESS’s usefull lifetime can be extended from 448 days to 1088 days or 2.43 times, and by replacing one battery, the BESS’s overall usefull lifetime can be extended to 1456 days until the end of the deterioration point where the BESS can't be operate anymore on smart microgrid. text |