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机构地区:[1]合肥工业大学汽车与交通工程学院
出 处:《客车技术》2017年第1期10-15,共6页Bus Technology
摘 要:为了解决纯电动汽车在道路循环中难以满足驾驶员意图和制动能量回收过程中未考虑蓄电池荷电状态的问题,提出一种能满足道路循环工况要求和驾驶员驾驶意图并且兼顾车辆运行状态的控制策略,从人(驾驶意图)-车(运行状态)-路(循环工况)闭环系统的整体角度优化电动汽车驱动控制系统的能量分配。对ADVISOR2002中纯电动汽车缺省的电机控制策略进行了二次开发,采用模糊控制算法开发了以电机需求转速变化率和电池荷电状态为输入,需求转矩补偿系数为输出的模糊控制器,并利用驾驶员模型对系数进行修正。对ADVISOR2002中缺省的纯电动汽车进行了仿真对比,对比结果表明所提出的控制策略能够在兼顾车辆运行状态的前提下,满足循环工况的要求和驾驶员的驾驶意图。In order to solve the problem of pure electric vehicles to meet the state of charge of battery not taking into account the driverls intention and braking energy recovery in the process of road circulation, this paper puts forward a new method to meet the road cycle requirements and driver intention and control strategy of the running state of the vehicle into account, from the person (driving intention) - vehicle (running state)- road (cycle condition) the overall perspective of the closed-loop system optimization of electric vehicle driving energy distribution control system. The motor of electric vehicle in the default ADVISOR2002 control strategy for the two time development, developed by the requirement of motor speed change rate and the state of charge input fuzzy control algorithm, demand torque compensation coefficient the output of fuzzy controller, and the driver model of the coefficient is modified. The default pure electric vehicle in ADVISOR2002 is simulated and compared,the proposed control strategy can meet the requirements of the cycle conditions and driver's intentions under the premise of taking into account the vehicle running state.
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