Intelligent electric vehicles (IEVs) have attracted more and more attention benefitting from the characteristics of high degree of safety and energy efficiency. This paper proposes an adaptive cruise control framework considering regenerative braking to improve safety and energy efficiency of IEVs during the car-following process. At first, a coupled and nonlinear dynamic model of IEVs system is constructed, which is mainly composed of a powerful battery, an electric motor, a single-speed transmission, and a hydraulic braking system. Then, an adaptive fuzzy sliding mode high-level controller is designed to accurately obtain the desired longitudinal acceleration of IEVs, in which the fuzzy logic is utilized to approximate the switching control item of the sliding mode control for chattering free. And the stability of high-level controller is proven by the Lyapunov theory. In the lower-level controller, traction control and brake control are designed to track the desired acceleration produced by the high-level controller, in addition, a novel regenerative braking strategy is presented to maximize the braking energy recovery. Finally, the simulation results indicate that the proposed control scheme has the excellent performance of longitudinal tracking and braking energy recovery with no loss of safety.
Safe and Energy-Efficient Car-Following Control Strategy for Intelligent Electric Vehicles Considering Regenerative Braking
IEEE Transactions on Intelligent Transportation Systems ; 23 , 7 ; 7070-7081
2022-07-01
3344668 byte
Article (Journal)
Electronic Resource
English
Regenerative braking strategy for electric vehicles
IEEE | 2009
|Regenerative Braking Strategy for Electric Vehicles
British Library Conference Proceedings | 2009
|Regenerative Braking Control Strategy of Electric Vehicles Based on Braking Stability Requirements
Springer Verlag | 2021
|Study on Control Strategy of Regenerative Braking in Electric Vehicles
Trans Tech Publications | 2011
|SAGE Publications | 2008
|