基于新能源汽车大数据的蓄电池亏电预警研究

Research on Early Warning of Battery Loss Based on Big Data of New Energy Vehicles

现有的新能源车蓄电池亏电预警主要基于蓄电池电压值,存在判断逻辑及要素单一,判断准确性不高,无法同时判定出蓄电池亏电的原因,使售后部门难以开展后续工作等问题。基于新能源汽车大数据的蓄电池亏电预警,可以融合多维度的汽车实时数据进行综合计算,再根据结果发出对应的预警信息,可以有效解决上述问题,在完成高准确度预警的同时,给出蓄电池亏电的原因。

The existing early warning of battery loss for new energy vehicles is mainly based on the battery voltage value.And the problems are the judgment logic and element are too monotonous,the judgment accuracy is not high,and the reason for the battery loss cannot be determined at the same time,making it difficult for the after-sales department to carry out follow-up work.Based on the new energy vehicle big data,the battery loss warning can be integrated with multi-dimensional real-time data of the car for comprehensive calculation,and then the corresponding warning information can be issued according to the result,which can effectively solve the above problems,provide a high-accuracy warning and give reasons for the battery loss at the same time.