Control Strategy of Braking Energy Recovery Based on Electric Servo System
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    With the development of new-energy vehicles, braking energy recovery as an important means to save energy and protect environment of the new-energy vehicles causes attention widely. The control strategy of braking energy recovery based on electric servo system was studied. Firstly, the operational principle and key components of the electric servo system were analyzed and the braking modes were divided based on the vehicle speed and braking intensity. Secondly, the distribution strategy of braking force considering the economy and security of the vehicle was researched. The motor braking force was corrected by using the intensity of the brake, vehicle speed and SOC. The control theory of pressure was analyzed and control requirements were provided. The pressure-control strategy was studied based on the feedforward and feedback, aiming to control the pressure precisely and validate the control results of pressure by using Matlab/Simulink and AMESim co-simulation. Finally, the control strategy of the braking energy recovery was validated by the real-vehicle test and the economy of the vehicle was evaluated by using the rate of braking energy recovery. The rate of braking energy recovery of NEDC cycle can reach 71.38%. The results showed that the distribution strategy of braking force and the pressure control algorithm were valid and feasible and the control strategy of braking energy recovery can increase the rate of braking energy recovery and raise the economy of the vehicle significantly. Therefore, the control strategy of braking energy recovery based on electric servo system was valid and feasible. The control strategy presented can provide a useful reference for the design of braking energy recovery system for electric vehicles.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:February 21,2017
  • Revised:
  • Adopted:
  • Online: July 10,2017
  • Published: