158 / 2023-10-19 20:23:39
Battery state of charge and temperature equalization algorithm based on fuzzy control
Lithium battery balancing; Balanced topology; Multivariable fuzzy control
Draft Accepted
Guoping Zou / College of mechanical and electrical engineering,China Jiliang University, Hangzhou, 310018, China.
Xingyang Su / College of mechanical and electrical engineering,China Jiliang University, Hangzhou, 310018, China.
Linggang Zhou / State Grid Taizhou Electric Power Supply Company, Taizhou, 318000, China.
Yuan Liu / Beijing Inshine Technology Co.,Ltd, Beijing, 100089, China
In the power system, a large number of lithium batteries are required for combined supply. But during use, there will be inconsistencies. In addition, excessive temperature during battery use may cause thermal runaway of the battery. It is necessary to balance the SOC (state of charge) of the battery cells and limit the temperature rise. On a double-layer balanced topology based on inductive devices. A fuzzy control equalization strategy with battery capacity as the balancing target and battery temperature as the limiting condition is proposed. This fuzzy control balancing strategy takes battery capacity as the balancing target and battery temperature as the limiting condition. Dynamically adjust the balancing current according to the battery SOC deviation and temperature to achieve balancing. The simulation results show that this strategy improves the time efficiency by about 11.41%, and the average battery temperature is reduced by 0.94°C, verifying the effectiveness of the algorithm.
Important Date
  • Conference Date

    Dec 08

    2023

    to

    Dec 10

    2023

  • Nov 01 2023

    Draft paper submission deadline

  • Dec 10 2023

    Registration deadline

Sponsored By
IEEE IAS
Organized By
Southwest Jiaotong University (SWJTU)