Dissertation > Excellent graduate degree dissertation topics show

Study on the Control Strategy of Electric Driving and Regenerative Braking for Pure Electric Vehicle with Dual-Energy Storage System

Author: ZhangYaJun
Tutor: ZuoMaoDe
School: Chang'an University
Course: Control Theory and Control Engineering
Keywords: Pure Electric Vehicle(PEV) Brushless Direct Current Motor(BLDCM) Ultra-capacitor Dual-Energy Storage System(DESS) DC/DC controller Adaptive Fuzzy PID Controller Regenerative Braking ADVISOR2002
CLC: U469.72
Type: Master's thesis
Year: 2011
Downloads: 335
Quote: 2
Read: Download Dissertation

Abstract


This paper considers the pure electric vehicles (PEV) control system driven by brushless direct current motor (BLDCM). In order to develope the control strategy of electric driving and regenerative braking system with high-performance, high efficiency, high standard for PEV, the dynamic model of PEV, the mathematic model of BLDCM and the model of speed and current double closed-loop control system are constructed at first. After that, the bi-directional DC/DC converter, electric driving and regenerative braking system are mainly present respectively. The above work accumulated a lot of invaluable experience for the follow-up search of PEV.Firstly, since BLDCM has many advantages such as high efficiency, high power density and good speed regulation performance, the dynamic model of PEV driven by BLDCM is obtained by analyzing the equation of PEV and the mathematic model of BLDCM. Therefore, it is combined reasonably in PEV control system.Secondly, an adaptive fuzzy PID control system in which the control objective is the vehicle speed can be designed for PEV with sole-energy storage system. In addition, the principle of regenerative braking for PEV driven by BLDCM is analyzed detailedly, and the control strategy for energy recycling is studied and simulated in Matlab7.0. The simulation results show that the control strategy is correct.Thirdly, the main circuit of the dual-energy storage system (DESS) and the adaptive fuzzy PID control strategy for bi-directional DC/DC converter are designed based on the structure of ultra-capacitor and battery in parallel. On this condition with constant current and voltage, simulation model of this system can be confirmed. The simulation results proved that the control strategy is correct and effective.Finally, on the basis of braking mechanism and energy recycling principles of PEV, a braking force distributing scheme is obtained. By utilizing the simulation software ADVISOR2002, modeling and simulation of the braking energy recycling system is conducted. The simulation results show that the recycling efficiency of regenerative braking energy for PEV is improved. Therefore, the consumption of the limited energy of the dual-source energy storage system is more rational, and the PEV’s driving range can be extended as well.

Related Dissertations

  1. The Research of Die Casting Machine’s Real-time Control System Based on ARM,TP273
  2. Study on Electric Vehicle Regenerative Braking Controlstrategy,U469.72
  3. Design and Research on the Energy Control System of SOFC,TM911.4
  4. Research on Bidirectional DC/DC Converter with Ultracapacitor,TM46
  5. Research on Utilization Technique of Regenerating Braking Energy in Urban Rail Traction System,TM922.3
  6. Research on Electrical Power Management of Hybrid Electric Vehicle,U469.7
  7. Hybrid supercapacitor based energy storage system of hydraulic excavators,TU621
  8. Matching design and control of hybrid power technology research,TM46
  9. Application Research on a Stand-alone PV System with Ultracapaticor Battery Hybrid Energy Storage,TM912;TM53
  10. The Second Development and Research of ADVISOR for Simulation of Rear Drive EV with Synergic Electric Power System,U469.72
  11. Study of Digital Controlled Bi-directional DC/DC Converter,TM46
  12. Study of Optimal Parameter Matching and Optimal Control for Fuel Cell Electronic Vehicle with Ultracapacitor,U469.722
  13. Research on Key Technology of Ground-based Super- capacitor Energy Storage System for Urban Rail Transit,TM53
  14. Study on Control Strategy of Hybrid Electric Vehicle and Anti-lock Braking System,U469.72
  15. Study on Brushless DC Motor Velocity Adjustment Control System Based on Fuzzy PID Optimized by PSO Algorithm,TM33
  16. Simulation and Research of Regenerative Braking Energy Storage in Urban Rail Based on Super Capacitor,U270.35
  17. Study on Parameter Marching and Control Strategy for Parallel Hybrid Electric Vehicle,U469.72
  18. Research on the Energy Absorption of Regenerative Braking Based on Inverting in Metro,U231.8
  19. Research on Regenerative Braking Energy Feedback Inverter System of Urban Mass Transit,U270.3
  20. High-Speed EMU Considering Regenerative Braking Condition Simulation Research,U266
  21. Pure electric vehicle performance modeling and simulation,U469.72

CLC: > Transportation > Road transport > Automotive Engineering > A variety of automotive > Various energy vehicles > Electric vehicles
© 2012 www.DissertationTopic.Net  Mobile