The invention discloses an electric vehicle power battery health state monitoring method based on cloud computing, and the main design conception of the method is that power battery related data uploaded by a battery management system configured on a vehicle is reported to a cloud server through a vehicle-mounted terminal, and meanwhile, a battery capacity self-learning algorithm is created at a cloud end; the power battery health state of the on-line vehicle is estimated in real time, especially the vehicles with abnormal attenuation of the service life of the power battery and the service life being about to be stopped are monitored, and therefore early warning can be achieved, and a user is informed of entering a shop to maintain or replace the power battery in time. The method is suitable for monitoring the battery health state of the electric vehicle power battery in the whole life cycle, does not need a large amount of off-line data for data training, greatly reduces the requirements for model precision and operation resources, better fits the actual application scene of the electric vehicle, and improves the reliability of the electric vehicle. And safe and reliable operation of the power battery of the electric vehicle is effectively ensured.
本发明公开了一种基于云计算的电动汽车动力电池健康状态监测方法,本发明的主要设计构思在于,通过车载终端将车上配置的电池管理系统上传的动力电池相关数据上报到云端服务器,同时在云端创建电池容量自学习算法,实时估计在线车辆的动力电池健康状态,尤其重点监控动力电池寿命异常衰减以及寿命即将中止的车辆,从而可以做到提前预警,告知用户及时进店维修或更换动力电池。本发明适用于电动车汽车动力电池在整个生命周期内的电池健康状态监测,不需要大量的离线数据进行数据训练,大大降低了对模型精度以及运算资源的需求,同时更加贴合电动汽车实际应用场景,有效保证了电动汽车动力电池的安全可靠运行。
Electric vehicle power battery health state monitoring method based on cloud computing
基于云计算的电动汽车动力电池健康状态监测方法
2024-08-09
Patent
Electronic Resource
Chinese
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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