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• W2992076141 abstract "This paper studies the control strategy for adaptive cruise control (ACC) system on a battery electric vehicle (BEV) in the car-following process, and the highlight of this paper is that the regeneration braking of BEV is considered in the car-following process. The hierarchical control structure is adopted for the ACC system. And the structure contains an upper controller and a lower controller. In the upper controller, multiple objectives including the safety, tracking, comfort, and energy consumption are optimized by using the model predictive control (MPC) method. In the lower controller, the energy is recovered during braking. So the energy economy is improved by reducing energy consumption and increasing energy recovery. The proposed ACC strategy is evaluated in simulation experiment. In the simulation experiment, safe tracking for the front vehicle is guaranteed, and the comfort and the energy economy are improved greatly. So the proposed adaptive cruise control strategy can make ACC more widely used in BEVs." @default.
• W2992076141 created "2019-12-13" @default.
• W2992076141 creator A5047855118 @default.
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• W2992076141 date "2019-12-10" @default.
• W2992076141 modified "2023-09-25" @default.
• W2992076141 title "Study on Adaptive Cruise Control Strategy for Battery Electric Vehicle" @default.
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• W2992076141 doi "https://doi.org/10.1155/2019/7971594" @default.
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