A Variable Proportional Valve Braking Force Distribution Strategy Including SOC Constraints of Electric Vehicles

Hong Xia Yu; Zhen Yang Lin

doi:10.4028/www.scientific.net/AMM.597.525

Paper Titles

Analysis and Research on the Picking Roller of the Half-Feed Peanut Combine Harvester
p.502

Statics and Grasp Stiffness Analysis of an Underactuated Cable-Truss Mechanism
p.507

An All-Digital, Cyclic and Synthesizable TDC in the ADPLL-Based Clocking Digital Systems for Multidomain Power Management
p.515

A Novel Adaptive UKF and its Application in the SINS/GPS Integrated Navigation
p.521

A Variable Proportional Valve Braking Force Distribution Strategy Including SOC Constraints of Electric Vehicles
p.525

Finite Element Analysis of Key Component on Two Wheels Scooter
p.531

Multi-Objective Optimization for the Section Structure of Sandwich Plate Applied in the High-Speed Train Compartments
p.535

Secondary Developments of ANSYS for Temperature and Stress Field Simulation of Brake Disc Based on VB
p.540

Simplified Dynamics Modeling of Seat-Passenger in Vehicle Frontal Crash
p.544

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 597A Variable Proportional Valve Braking Force...

A Variable Proportional Valve Braking Force Distribution Strategy Including SOC Constraints of Electric Vehicles

Abstract:

Braking force distribution plays an important role in energy recovery of electric vehicles. A new braking force distribution based on the variable proportional valve is proposed to solve the traditional proportional valve braking force distribution problem. By considering the safety brake force distribution area, the variable proportional valve friction braking force distribution line is optimized, the regenerative braking force equations are deduced using the optimized friction braking force distribution line at different braking intensity, then the regenerative braking force is corrected by considering mechanical characteristics of motor and SOC of battery constraints. Simulation results show that the proposed regenerative braking energy recovery has been significantly improved.

You might also be interested in these eBooks

Advance Materials Development and Applied Mechanics

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 597)

Pages:

525-530

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.597.525

Citation:

Cite this paper

Online since:

July 2014

Authors:

Hong Xia Yu*, Zhen Yang Lin

Keywords:

Braking Force Distribution, Electric Vehicle (EV), Regenerative Braking, SoC

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] FALCONE P, KHOSHFETRAT PAKAZAD D, SOLYOM S. Predictive approaches to rear axle regenerative braking control in hybrid vehicles/Joint 48th IEEE Conference on Decision and control and 28th Chinese Control Conference, 2009: 7627-7632.

DOI: 10.1109/cdc.2009.5400611

Google Scholar

[2] GAO Yi-min, CHU Liang, EHSANI M. Design and control principles of hybrid braking system for EV, HEV and FCV/ Vehicle Power and Propulsion Conference , Arlington, 2007: 384-391.

DOI: 10.1109/vppc.2007.4544157

Google Scholar

[3] Binggang Cao, Zhifeng Bai, Wei Zhang. Research on Control for Regenerative Braking of Electric Vehicle. 0-7803-9435-6, IEEE, 2005: 92-97.

DOI: 10.1109/icves.2005.1563620

Google Scholar

[4] APTER R, PRATHALER M. Regeneration of power in Hybrid vehicles/ Vehicular Technology Conference, Birminghan. 2002: 2063-(2069).

DOI: 10.1109/vtc.2002.1002987

Google Scholar

[5] CHU Liang, SHANG Ming-li, FANG Yong, GAO jian-hua, ZHOU Fei-kun. Braking force distribution strategy for HEV based on braking strength/ 2010 International Conference on Measuring Technology and Mechatronics Automation, Changsha, 2010: 759-764.

DOI: 10.1109/icmtma.2010.344

Google Scholar

[6] LI Yu-fang, LIN Yi, HE Hong-wen, CHEN Lu-hua. A study on control algorithm of regenerative braking for EV/HEV. Automotive Engineering. 2007, 29(12): 1059-1063. (in Chinese).

Google Scholar

[7] Paterson, J.; Ramsay, M. Electric Vehicle Braking by Fuzzy Logic Control. In Proceedings of the IEEE Industry Applications Society Annual Meeting Toronto, Canada, 2-8 October 1993; Volume 3, pp.2200-2204.

DOI: 10.1109/ias.1993.299173

Google Scholar

[8] MUTOH N, YAHAGI H. Control methods suitable for electric vehicles with independently driven front and rear wheel structure. IEEE transaction on Industrial Electronics, 2007, 54(2): 665-672.

DOI: 10.1109/vppc.2005.1554630

Google Scholar