基于双阈值触发机制的串联锂离子电池组主动均衡策略

Hui Pang , Wenzhi Nan , Xiaofei Liu , Fengbin Wang , Kaiqiang Chen , Yupeng Chen
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引用次数: 0

摘要

众所周知,在电动汽车应用中,主动均衡策略可以克服串联锂离子电池组中锂离子电池电压和充电状态(SOC)的不一致性。为此,我们提出了一种新颖的基于双阈值触发机制的主动均衡策略(基于 DTTM 的 AES),以克服串联式锂离子电池组中电池固有的不一致性,并提高均衡效率。首先,构建了改进的双层电感均衡电路,使能量传递路径优化成为可能。接着,基于所设计的由电池电压和 SOC 触发的双阈值触发机制,提出了一种主动均衡策略,使用扩展卡尔曼粒子滤波算法估算电池组中每个单体电池的 SOC。此外,在改进均衡电路的基础上,采用改进的粒子群优化方法来优化能量传输路径,以缩短均衡时间。最后,仿真和实验结果验证了所提出的基于 DTTM 的 AES。
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An active equalization strategy for series-connected lithium-ion battery packs based on a dual threshold trigger mechanism

It is well acknowledged to all that an active equalization strategy can overcome the inconsistency of lithium-ion cell's voltage and state of charge (SOC) in series-connected lithium-ion battery (LIB) pack in the electric vehicle application. In this regard, a novel dual threshold trigger mechanism based active equalization strategy (DTTM-based AES) is proposed to overcome the inherent inconsistency of cells and to improve the equalization efficiency for a series-connected LIB pack. First, a modified dual-layer inductor equalization circuit is constructed to make it possible for the energy transfer path optimization. Next, based on the designed dual threshold trigger mechanism provoked by battery voltage and SOC, an active equalization strategy is proposed, each single cell's SOC in the battery packs is estimated using the extended Kalman particle filter algorithm. Besides, on the basis of the modified equalization circuit, the improved particle swarm optimization is adopted to optimize the energy transfer path with aiming to reduce the equalization time. Lastly, the simulation and experimental results are provided to validate the proposed DTTM-based AES.

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