Regenerative braking control strategy optimisation based on hybrid power source and PSO
by Guizhou Ren; Guofei Zhang; Wenpu Shi; Yuanquan Si; Youpeng Duan
International Journal of Mechatronics and Manufacturing Systems (IJMMS), Vol. 16, No. 1, 2023

Abstract: How to achieve optimal braking force distribution and improve regeneration efficiency are urgent problems to be solved. A battery/super-capacitor hybrid power source and particle swarm optimization-based control strategy of regenerative braking is designed, which fully considers braking stability and efficiency. The regenerative power is taken as the fitness function, the optimal electric braking force is used as the optimisation goal, to achieve the optimal distribution of the mechanical and electric braking forces of the front axle. A MATLAB/Simulink-AVL Cruise co-simulation model is established, and the simulation studies are carried out under the CLTC, FTP75, and NEDC cycle conditions. The results show the proposed regenerative braking control strategy can effectively improve energy regeneration efficiency while ensuring braking stability, which verifies the effectiveness of the designed scheme. The research results offer the reference for the design of control strategy of regenerative braking for electric vehicles.

Online publication date: Thu, 06-Jul-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mechatronics and Manufacturing Systems (IJMMS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com