The invention provides a battery management method, a management system, a medium and a program product, and relates to the technical field of battery management. The method comprises the steps that the traffic congestion condition of a road where a current vehicle is located is obtained in real time through a vehicle-mounted camera, whether the vehicle is located in a congested road section or not is judged according to vehicle speed information, and when it is determined that the vehicle enters a congested state, the outside air temperature, the battery temperature and operation parameters are obtained in real time; inputting into a battery consumption judgment model which is obtained through machine learning training in advance and is used in different congestion environments, calculating a relatively accurate electric quantity consumption predicted value according to various environmental parameters, and judging the duration of the congestion road section by combining with a third party; and finally, according to the congestion duration, the current electric quantity condition of the battery and the electric quantity consumption value predicted by the model, the power utilization strategy of the battery is intelligently and automatically adjusted, and reasonable power utilization in the congestion environment is realized. According to the method, the actual consumption of the battery can be evaluated more accurately, and a more reasonable and reliable battery power utilization strategy is formulated accordingly.
本申请提供一种电池管理方法、管理系统、介质和程序产品,涉及电池管理技术领域。该方法包括通过车载摄像头实时获取当前车辆所在道路的交通拥堵情况,结合车速信息判断车辆是否处于拥堵路段,当确定进入拥堵状态时,会实时获取车外气温、电池温度和运行参数,并输入预先通过机器学习训练得到的用于不同拥堵环境下的电池消耗判断模型中,根据各种环境参数运算出较为精确的电量消耗预测值,再结合第三方对该拥堵路段时长的判断,最终根据拥堵时长、电池当前电量状况和模型预测的电量消耗值,智能地自动调节电池的用电策略,实现在拥堵环境下的合理用电。该方法可以更加精确地评估电池的实际消耗,并据此制定出更加合理可靠的电池用电策略。
Battery management method, management system, medium and program product
一种电池管理方法、管理系统、介质和程序产品
28.03.2025
Patent
Elektronische Ressource
Chinesisch
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