基于运行工况识别及充电管理的E-REV智能控制策略

Driving pattern recognition and charging management-based intelligent control strategy for extended-range electric vehicles

为提高混合动力车辆（HEV）存储充电站清洁电能的能力,对增程式电动汽车（E-REV）运行工况进行了分析,提出一种基于运行工况识别及电池充电管理的智能控制策略。根据车辆当前所行驶的运行工况类型,控制增程器处于不同的工作方式。当司机有到达充电站充电的意图时,根据此时车辆与充电站之间的距离,确定增程器的关闭时刻,使E-REV到达充电站时动力电池充电状态（SOC）降低至理想充电范围。结果表明,相比恒功率控制策略,本策略能够使得E-REV在进入充电站时SOC值降低至30%-35%之间。

The driving cycle of extended-range electric vehicle（E-REV） was analyzed with constructing an intelligent control strategy based on driving pattern recognition and battery charging management to improve the storage ability of clean electricity energy for hybrid electric vehicle（HEV）. The strategy was used to control a extender working in different condition according to current driving cycle categories. The strategy would determine the extender-off time according to the distance between charging station and the driver＇s current position when the driver decided to recharge battery from outlet and reduce state of charge（SOC） to an ideal value as the vehicle arrive at the charging station. The results show that the strategy can reduce SOC to 30%-35% compared to that of constant power control strategy when a E-REV arrives at the charging station.