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Range Extension Autonomous Driving for Electric Vehicles Based on Optimal Velocity Trajectory Generation and Front-Rear Driving-Braking Force Distribution

机译:基于最优速度轨迹生成和前后驾驶-制动力分配的电动汽车增程自动驾驶

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Electric vehicles (EVs) have been intensively studied over the past decade, owing to their environmentally-friendly characteristics. However, the miles-per-charge of typical EVs is lower than the cruising range of typical internal combustion engine vehicles. To increase miles-per-charge, the authors' research group has proposed a series of control systems, including Range Extension Control Systems (RECS) and Range Extension Autonomous Driving (READ) systems. In this paper, by considering the load transfer, slip ratio, motor losses, a READ system is proposed that optimizes the velocity trajectory and the front and rear driving-braking force distribution ratio; these techniques help reduce the consumption energy of the autonomous vehicle. The effectiveness of the proposed method is verified by simulations and experiments.
机译:电动汽车(EV)由于其环保特性而在过去十年中进行了深入研究。但是,典型电动汽车的每次充电里程低于典型内燃机汽车的续航里程。为了增加每次充电的里程数,作者的研究小组提出了一系列控制系统,包括范围扩展控制系统(RECS)和范围扩展自动驾驶(READ)系统。本文通过考虑载荷传递,滑移率,电机损耗,提出了一种READ系统,可以优化速度轨迹和前后驱动制动力分配比。这些技术有助于减少自动驾驶汽车的能耗。仿真和实验验证了该方法的有效性。

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