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Range extension autonomous driving for electric vehicles based on optimal velocity trajectory and driving braking force distribution considering road gradient information

机译:考虑道路坡度信息的最优速度轨迹和驱动制动力分配的电动汽车增程自动驾驶

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Electric Vehicles (EVs) are deemed as an appealing and practical solution for environmental and energy problems. The mileage per charge of EVs, however, is shorter than the mileage of Internal Combustion Engine Vehicles (ICEVs). In this paper, Range Extension Autonomous Driving (READ) system considering road gradient information is proposed. The proposed system optimizes the velocity trajectory and the driving-braking force distribution ratio for autonomous driving. The authors carried out simulations and bench tests that prove the effectiveness of the proposal in terms of mileage per charge.
机译:电动汽车(EV)被认为是解决环境和能源问题的有吸引力且实用的解决方案。但是,电动汽车的每次充电里程要短于内燃机汽车(ICEV)的里程。本文提出了一种考虑道路坡度信息的增程自动驾驶(READ)系统。该系统优化了自动驾驶的速度轨迹和驱动制动力分配比。作者进行了仿真和基准测试,证明了该建议在每次充电行驶里程方面的有效性。

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