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

3.Power system and automation > (1) Modeling, control and stability analysis in power system

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.