The invention relates to a battery pack equalization method and system, and a computer readable storage medium. The method comprises the steps of obtaining a to-be-equalized quantity of each battery cell in a battery pack; and determining the equalization time point and the target equalization quantity of each battery cell through a reinforcement learning model according to the to-be-equalized quantity. Wherein the reinforcement learning model works based on the use habits and temperature characteristics of the battery pack in different use scenes, the environment temperature and the heating conditions of each battery cell in different use scenes, and the target equalization quantity is an adjustment value about the quantity to be equalized.
本申请涉及电池包均衡方法、系统以及计算机可读存储介质,所述方法包括:获取所述电池包中每个电芯的待均衡量;以及根据所述待均衡量并通过强化学习模型确定所述每个电芯各自的均衡时间点和目标均衡量。其中,所述强化学习模型基于所述电池包在不同使用场景下的使用习惯和温度特性、环境温度、所述每个电芯在不同使用场景下的发热情况工作,并且所述目标均衡量是关于所述待均衡量的调整值。
Battery pack balancing method and system and computer readable storage medium
电池包均衡方法、系统以及计算机可读存储介质
2024-03-15
Patent
Electronic Resource
Chinese
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