改善电动汽车能量管理系统策略的研究

Research on Improving the Strategy of Electric Vehicle Energy Management System

近年来,面对日趋严重的资源与环境问题,新型车辆的开发利用越来越受到各国政府和工业界的高度重视,而电动汽车的出现在一定程度上可解决上述问题,其中能量存储管理策略的问题成为电动汽车发展中急需解决的一部分。目前电动汽车能源管理系统(EMS)开发了一种电池组,可准确预测和延长可用里程和使用寿命, EMS监控和记录电池状态费用,车辆性能功耗的关键是组件和驱动器的操作,便于驾驶员的输入与记忆的能量消耗曲线相结合,以准确预测里程并选择合适的充电曲线。本文主要介绍了EMS系统的说明影响范围预测精度的因素及其影响因素范围扩展量。

In recent years, in the face of increasingly serious resource and environmental problems, the developmentand utilization of new vehicles has been highly valued by governments and industry in various countries, and theemergence of electric vehicles can solve the above problems to a certain extent, including energy storage managementstrategies. The problem has become an urgent part of the development of electric vehicles. The current electric vehicleenergy management system（EMS） has developed a battery pack that accurately predicts and extends the available mileageand service life. EMS monitors and records battery status costs. The key to vehicle performance and power consumptionis the operation of components and drives, which is easy to drive. The input of the member is combined with theenergy consumption curve of the memory to accurately predict the mileage and select the appropriate charging curve.This paper mainly introduces the EMS system to explain the factors affecting the prediction accuracy of the range andthe extent of the influencing factors.