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Regenerative Braking Control Strategy of Electric Vehicles Based on Braking Stability Requirements
by
Jiang, Biao
, Wang, Yangxiong
, Zhang, Xiangwen
, Hu, Wenchao
in
Algorithms
/ Control stability
/ Electric vehicles
/ Energy
/ Energy conversion efficiency
/ Energy recovery
/ Force distribution
/ Kinetic energy
/ Optimization
/ Regenerative braking
/ Software
/ Stress concentration
2021
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Regenerative Braking Control Strategy of Electric Vehicles Based on Braking Stability Requirements
by
Jiang, Biao
, Wang, Yangxiong
, Zhang, Xiangwen
, Hu, Wenchao
in
Algorithms
/ Control stability
/ Electric vehicles
/ Energy
/ Energy conversion efficiency
/ Energy recovery
/ Force distribution
/ Kinetic energy
/ Optimization
/ Regenerative braking
/ Software
/ Stress concentration
2021
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Do you wish to request the book?
Regenerative Braking Control Strategy of Electric Vehicles Based on Braking Stability Requirements
by
Jiang, Biao
, Wang, Yangxiong
, Zhang, Xiangwen
, Hu, Wenchao
in
Algorithms
/ Control stability
/ Electric vehicles
/ Energy
/ Energy conversion efficiency
/ Energy recovery
/ Force distribution
/ Kinetic energy
/ Optimization
/ Regenerative braking
/ Software
/ Stress concentration
2021
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Regenerative Braking Control Strategy of Electric Vehicles Based on Braking Stability Requirements
Journal Article
Regenerative Braking Control Strategy of Electric Vehicles Based on Braking Stability Requirements
2021
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Overview
Electric vehicles are effective way to solve energy and environmental problems, but the promotion and application of electric vehicles are suppressed by their limited endurance range seriously. The regenerative braking technology is an important method to increase the endurance range of the electric vehicle. During the braking process, the kinetic energy of the electric vehicle can be converted into electric energy and stored in the energy source device with the regenerative braking system, so the endurance range of the electric vehicle can be increased accordingly. In order to increase the efficiency of energy recovery, a regenerative braking strategy with the optimization distribution algorithm is proposed in this paper, and the braking forces of the front and rear axles are distributed optimally with variable ratios based on the braking strength. With the optimal braking force distribution ratio and related constraint conditions, the regenerative braking control strategy was designed to meet the braking stability and the maximum braking energy recovery. And then a simulation model of the braking control strategy was built with MATLAB/Simulink software, and the simulation tests on UDDS and NEDC cycle conditions were done to verify the effectiveness of the designed regenerative braking control strategy. Compared with the control strategy of ADVISOR software, the braking energy recovery efficiency was improved more than 51.9 % while maintaining the braking stability.
Publisher
Springer Nature B.V
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