A Novel Electric Vehicle Braking Energy Recovery Method Based on Model Free Adaptive Control Algorithm with Input and Output Constraints

• Main Authors: Liu, Shida, Li, Zhen, Ji, Honghai, Hou, Zhongsheng, Fan, Lingling
• Format: Conference Proceeding
• Language: English
• Subjects: Adaptation models; battery life; braking energy recovery; Cost function; Data models; Electric vehicles; model free adaptive control with input and output constraints; Nonlinear dynamical systems; pure electric vehicle; Torque; Transforms
• ISSN: 2767-9861
• DOI: 10.1109/DDCLS52934.2021.9455530

This study focus on the problem of pure electric vehicle's braking energy recovery with the uncertain dynamic external factors. For this problem, a novel model free adaptive control with input and output constraints (IOC-MFAC) method is introduced. The dynamic process can be considered as a nonlinear two inputs and two outputs system with hydraulic braking torque and motor braking torque as inputs and braking energy and braking deceleration as outputs. By using IOC-MFAC, the constraints of limitation of current and voltage on the maximum motor braking torque and the constraints of the vehicle's comfort on braking deceleration are considered. Consequently, the recovered energy is controlled in a stable range while guaranteeing the energy recovery to prolong the storage battery's operating life. The major advantages of IOC-MFAC are that not only the controller is designed only with input and output data of the regenerative brake control system, but also the constraints of the system inputs and outputs are considered. Further, the efficiency of IOC-MFAC is verified with a series of numerical simulations.