TY - JOUR
T1 - Modular design and validation for battery management systems based on dual-concentration architectures
AU - Lee, Yu Lin
AU - Lin, Chang Hua
AU - Pai, Kai Jun
AU - Lin, Yu Liang
N1 - Funding Information:
This study was financially supported by the Ministry of Science and Technology, Taiwan , R.O.C. (Project number: MOST 110-2622-E-011-004 & MOST 110-2221-E-011-081 & MOST 110-3116-F-011-002 ). This research was also partially financed by the Taiwan Building Technology Center under The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project of the Ministry of Education in Taiwan.
Publisher Copyright:
© 2022
PY - 2022/9
Y1 - 2022/9
N2 - This study presents a modular design and validation for a battery management system (BMS) based on a dual-concentration architecture. This architecture enables an improvement of the BMS's performance, such as the balancing process and a reduction in the number of components, including power switches, switching arrays, and energy storage elements, required by the BMS. Generally, even an active balancing process still causes some energy loss, so this study applies a modified flyback converter with an active clamp for the battery module balancing process, which has a higher conversion efficiency, especially in low-power conditions. The simulation results of the balancing circuit are consistent with the measured results. To quantify the improvement of the balancing strategies on the balancing results, this study also presents four balancing strategies for the proposed BMS, wherein the balancing duration and maximum voltage error of the balancing strategy (considering both the voltage error and balancing duration) can be reduced by approximately 34 % and 73 %, respectively, compared with the worst-case scenario in the four balancing strategies.
AB - This study presents a modular design and validation for a battery management system (BMS) based on a dual-concentration architecture. This architecture enables an improvement of the BMS's performance, such as the balancing process and a reduction in the number of components, including power switches, switching arrays, and energy storage elements, required by the BMS. Generally, even an active balancing process still causes some energy loss, so this study applies a modified flyback converter with an active clamp for the battery module balancing process, which has a higher conversion efficiency, especially in low-power conditions. The simulation results of the balancing circuit are consistent with the measured results. To quantify the improvement of the balancing strategies on the balancing results, this study also presents four balancing strategies for the proposed BMS, wherein the balancing duration and maximum voltage error of the balancing strategy (considering both the voltage error and balancing duration) can be reduced by approximately 34 % and 73 %, respectively, compared with the worst-case scenario in the four balancing strategies.
KW - Active balancing
KW - Active clamp flyback converter
KW - BMS
KW - Dual-concentration
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U2 - 10.1016/j.est.2022.105068
DO - 10.1016/j.est.2022.105068
M3 - Article
AN - SCOPUS:85132539914
SN - 2352-152X
VL - 53
JO - Journal of Energy Storage
JF - Journal of Energy Storage
M1 - 105068
ER -