智能电动汽车自适应巡航与再生制动多目标协同控制*

doi:10.19562/j.chinasae.qcgc.2020.12.005

Abstract

Abstract: In order to improve the safety, comfort and economy of intelligent electric vehicles (IEVs), this paper proposes an integrated control method of adaptive cruise and regenerative braking of IEVs. Firstly, a nonlinear coupling model describing the longitudinal driving dynamic behavior of IEVs is established, which consists of vehicle model, power battery, motor, single-speed transmission and hydraulic braking system. Then, in view of the features of nonlinear coupling and parameter uncertainties of IEVs, an adaptive fuzzy sliding mode upper controller is designed to calculate the desired acceleration of IEVs in the process of adaptive cruise in real time. Fuzzy theory is used to approximate the switching term of sliding mode control to reduce shake. Finally, a drive/braking control law is designed, and a regenerative braking control strategy is proposed to effectively coordinate the regenerative braking system with the hydraulic braking system to maximize the braking energy recovery of IEVs. The test results show that the proposed integrated control method of adaptive cruise and regenerative braking can effectively improve the efficiency of braking energy recovery while ensuring the safety and comfort of IEVs

Key words: intelligent electric vehicles, adaptive cruise, regenerative braking, integrated control, longitudinal dynamics

Guo Jinghua, Li Wenchang, Wang Jingyao, Li Keqiang. Multi-objective Integrated Adaptive Cruise and Regenerative Braking Control of Intelligent Electric Vehicles[J].Automotive Engineering, 2020, 42(12): 1638-1646.

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Multi-objective Integrated Adaptive Cruise and Regenerative Braking Control of Intelligent Electric Vehicles

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