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A charging management-based intelligent control strategy for extended-range electric vehicles

机译:基于收费的扩展电动车辆智能控制策略

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To fully take advantage of external charging conditions and reduce fuel consumption for extended-range electric vehicles, a charging management-based intelligent control strategy is proposed. The intelligent control strategy is applied to different driving patterns based on the various characteristics of urban roads. When the vehicle is driving on arterial roads, a constant power control strategy is applied. When the driver decides to go to a charging station, the extender-off time can be determined based on the current state of the vehicle and the distance to the charging station. When the vehicle is driving on an expressway, a power follower control strategy is applied. The range-extender engine is controlled to work over a wide variety of regions to obtain optimum fuel economy. The simulation results indicate that as the vehicle arrives at the charging station, the proposed charging management-based intelligent control strategy has made the state of charge reach the lowest permissible level after the driver made the decision to charge at the charging station. Therefore, the driver can charge the vehicle with as much clean electric energy as possible from the charging station.
机译:为了充分利用外部充电条件并降低扩展电动车辆的燃料消耗,提出了一种基于充电的管理智能控制策略。基于城市道路的各种特征,应用智能控制策略应用于不同的驾驶模式。当车辆在动脉道路上行驶时,应用恒定的功率控制策略。当驾驶员决定转到充电站时,可以基于车辆的当前状态和到充电站的距离来确定扩展时间。当车辆在高速公路上行驶时,施加功率跟随器控制策略。控制范围 - 扩展器发动机控制在各种各样的区域上,以获得最佳燃料经济性。仿真结果表明,随着车辆到达充电站,所提出的基于充电管理的智能控制策略已经使充电状态达到最低允许的水平在驾驶员在充电站充电之后。因此,驾驶员可以从充电站用尽可能多的清洁电能充电。

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