TY - GEN
T1 - Advanced Battery Management System Design and Validation Using Simulink for Enhanced Efficiency and Longevity
AU - Singh Lodha, Kushagra
AU - Khatri, Narendra
AU - Sharma, Harish
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - An effective Battery Management System (BMS) is a key to guaranteeing safe operation, maximum efficiency, and prolonged lifespan of batteries in varied charge-discharge cycles and environmental conditions. A proper BMS is always tracking voltage and temperature in cells, analyzing the state-of-charge (SoC) and state-of-health (SoH), synchronizing power supply for minimizing overcharge and thermal runaway risks, enhancing the charging process, balancing the SoC quantity among individual cells, and disconnecting the battery pack from the load when needed to avoid possible failures. BMSs are widely employed in industrial and commercial applications, maximizing battery efficiency while keeping the battery state within safe limits to ensure maximum lifespan. Simulink is a suitable tool to simulate BMS, since it is full of modeling and simulation capabilities. It allows for the generation of single-cell-equivalent circuits, parameter estimation, electronic circuit design, generation of control logic, code generation, and verification processes. Electrical networks that simulate real system topologies can be used to model battery packs, parameterize circuit components from test data to accurately model cell chemistry, and power electronics circuits interconnecting the pack to control systems. With Simulink, it is possible to simulate closed-loop control algorithms dedicated to fault detection and supervisory logic, as well as state observers for online SoC and SoH estimation. By simulating a BMS in various operating and fault conditions, Simulink allows for exhaustive pre-hardware testing. Its real-time simulation capabilities also allow for hardware-in-the-loop (HIL) testing, thus ensuring a validated BMS design before hardware implementation.
AB - An effective Battery Management System (BMS) is a key to guaranteeing safe operation, maximum efficiency, and prolonged lifespan of batteries in varied charge-discharge cycles and environmental conditions. A proper BMS is always tracking voltage and temperature in cells, analyzing the state-of-charge (SoC) and state-of-health (SoH), synchronizing power supply for minimizing overcharge and thermal runaway risks, enhancing the charging process, balancing the SoC quantity among individual cells, and disconnecting the battery pack from the load when needed to avoid possible failures. BMSs are widely employed in industrial and commercial applications, maximizing battery efficiency while keeping the battery state within safe limits to ensure maximum lifespan. Simulink is a suitable tool to simulate BMS, since it is full of modeling and simulation capabilities. It allows for the generation of single-cell-equivalent circuits, parameter estimation, electronic circuit design, generation of control logic, code generation, and verification processes. Electrical networks that simulate real system topologies can be used to model battery packs, parameterize circuit components from test data to accurately model cell chemistry, and power electronics circuits interconnecting the pack to control systems. With Simulink, it is possible to simulate closed-loop control algorithms dedicated to fault detection and supervisory logic, as well as state observers for online SoC and SoH estimation. By simulating a BMS in various operating and fault conditions, Simulink allows for exhaustive pre-hardware testing. Its real-time simulation capabilities also allow for hardware-in-the-loop (HIL) testing, thus ensuring a validated BMS design before hardware implementation.
UR - https://www.scopus.com/pages/publications/105016843038
UR - https://www.scopus.com/pages/publications/105016843038#tab=citedBy
U2 - 10.1109/SIST61657.2025.11139232
DO - 10.1109/SIST61657.2025.11139232
M3 - Conference contribution
AN - SCOPUS:105016843038
T3 - SIST 2025 - 2025 IEEE 5th International Conference on Smart Information Systems and Technologies, Conference Proceedings
BT - SIST 2025 - 2025 IEEE 5th International Conference on Smart Information Systems and Technologies, Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Smart Information Systems and Technologies, SIST 2025
Y2 - 14 May 2025 through 16 May 2025
ER -