학술논문

Research on Energy Recovery Control Strategy of Electric Vehicle Based on Brake Intention
Document Type
Conference
Source
2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Automation, Electronics and Electrical Engineering (AUTEEE), 2022 IEEE 5th International Conference on. :166-170 Nov, 2022
Subject
Communication, Networking and Broadcast Technologies
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Fuzzy control
Analytical models
Simulation
Force
Neural networks
Electric vehicles
Mathematical models
regenerative braking
distribution strategy
braking intention recognition
fuzzy neural network
Language
ISSN
2831-4549
Abstract
The range is one of the performance indicators of new energy electric vehicles, and increasing the proportion of energy recovery during braking is an important way to improve the driving range of the car. This paper proposes an electric vehicle energy recovery control strategy based on braking intention, which can identify the braking intention, get the regenerative braking reinforcement coefficient, and cooperate with the classic fuzzy control strategy, the low braking intention, and high braking intention to reduce the regenerative braking ratio, and then optimize the braking force distribution. Finally, build the joint simulation model based on MATLAB and AVL_Cruise, and analyze the SOC curve in the simulation results, the simulation results show that the scheme ensures efficient energy recovery, for the classical fuzzy braking force distribution, effectively increasing the range of electric vehicles.