Concentrated Driving Electric Passenger Vehicle Braking Control Strategy Optimization

2013 ◽  
Vol 339 ◽  
pp. 183-189
Author(s):  
Jun Zhi Zhang ◽  
Hui Zhou ◽  
Cheng Lin ◽  
Peng Liu
Keyword(s):  
Control Strategy ◽  
Brake System ◽  
Regenerative Braking ◽  
Passenger Vehicle ◽  
Braking Performance ◽  
Electric Bus ◽  
Braking Control ◽  
And Performance

Regarding the centralized driving electric bus as the research object, the influence of Regenerative braking for vehicle braking performance is analyzed, and the original brake system was optimized, a braking control strategy, which does not reduce the vehicle braking safety and performance on the conditions of recovering braking energy as much as possible.

Regenerative Braking System for a Pure Electric Bus

2014 ◽  
Vol 543-547 ◽  
pp. 1405-1408 ◽  
Author(s):  
Jian Wei Cai ◽  
Liang Chu ◽  
Zi Cheng Fu ◽  
Li Peng Ren
Keyword(s):  
Control Strategies ◽  
Brake System ◽  
Regenerative Braking ◽  
Braking Performance ◽  
Braking System ◽  
Electric Bus ◽  
Brake Force ◽  
Braking Control ◽  
Vehicle Test ◽  
Brake Force Distribution

A design of regenerative braking system (RBS) for a pure electric bus was presented in this paper. A design of regenerative braking system for a pure electric bus was presented in this paper The control of regenerative braking was achieved by Pneumatic ABS and improve braking energy recovery under the premise of ensure braking performance. Regenerative braking control algorithm was mainly composed of two parts for the identification of the drivers intention and the brake force distribution. The regenerative brake control model was built in the matlab/simulink environment, rapid prototyping control was achieved by Autobox and vehicle test was carried on. Result shows that the control strategies can effectively make the pneumatic brake system and motor brake system work harmoniously.

scholarly journals Multi-Objective Optimization Study of Regenerative Braking Control Strategy for Range-Extended Electric Vehicle

2020 ◽  
Vol 10 (5) ◽  
pp. 1789 ◽  
Author(s):  
Hanwu Liu ◽  
Yulong Lei ◽  
Yao Fu ◽  
Xingzhong Li
Keyword(s):  
Control Strategy ◽  
Regenerative Braking ◽  
Multi Objective Optimization ◽  
Braking Performance ◽  
Multi Objective ◽  
Capacity Loss ◽  
Battery Capacity ◽  
Braking Control ◽  
Braking Energy Recovery ◽  
Adhesion Condition

Currently, the researches on the regenerative braking system (RBS) of the range-extended electric vehicle (R-EEV) are inadequate, especially on the comparison and analysis of the multi-objective optimization (MOO) problem. Actually, the results of the MOO problem should be mutually independent and balanced. With the aim of guaranteeing comprehensive regenerative braking performance (CRBP), a revised regenerative braking control strategy (RRBCS) is introduced, and a method of the MOO algorithm for RRBCS is proposed to balance the braking performance (BP), regenerative braking loss efficiency (RBLE), and battery capacity loss rate (BCLR). Firstly, the models of the main components related to the RBS of the R-EEV for the calculation of optimization objectives are built in MATLAB/Simulink and AVL/Cruise. The BP, RBLE, and BCLR are selected as the optimization objectives. The non-dominated sorting genetic algorithm (NSGA-II) is applied in RRBCS to solve the MOO problem, and a group of the non-inferior Pareto solution sets are obtained. The simulation results show a clear conflict that three optimization objectives cannot be optimal at the same time. Then, we evaluate the performance of the proposed method by taking the individual with the optimal CRBP as the final optimal solution. The comparation among BP, RBLE, BCLR, and CRBP before and after optimization are analyzed and discussed. The results illustrate that characteristic parameters of RRBCS is crucial to optimization objectives. After parameters optimization, regenerative braking torque works early to increase braking energy recovery on low tire-road adhesion condition, and to reduce the battery capacity loss rate at the expense of small braking energy recovery on the medium tire-road adhesion condition. In addition, the results of the sensitivity analysis show that after parameter optimization, RRBCS is proved to perform better road adaptability regarding the distribution of solutions. These results thoroughly validate the proposed approach for multi-objective optimization of RRBCS and have a strong directive to optimize the control strategy parameters of RBS.

Optimization of control strategy for regenerative braking of an electrified bus equipped with an anti-lock braking system

2011 ◽  
Vol 226 (4) ◽  
pp. 494-506 ◽  
Author(s):  
J Zhang ◽  
D Kong ◽  
L Chen ◽  
X Chen
Keyword(s):  
Control Theory ◽  
Control Strategy ◽  
Regenerative Braking ◽  
Hardware In The Loop ◽  
Optimum Control ◽  
Braking System ◽  
Simulation Results ◽  
Braking Control ◽  
And Performance

This paper mainly focuses on the regenerative braking control of an electrified bus equipped with an anti-lock braking system (ABS). The regenerative braking works simultaneously with a pneumatic ABS, thus liberating the remaining energy of the vehicle while its wheels tend to lock under an extreme brake circumstance. Based on one representative pneumatic ABS strategy and optimum control theory, the optimization for regenerative braking control is proposed, in which the frictional and regenerative brake forces are controlled integrally to obtain maximal available adhesion. The simulation results indicate that brake stability and performance on different roads profit from the optimization. Hardware-in-the-loop (HIL) tests are accomplished on the pneumatic braking system of an electrified bus. HIL tests validate the results of simulation and guarantee the advantage and reliability of the optimization. The adaptability of optimization to hardware and software of the brake controller is also ensured. The field in which further research could be carried out is proposed.

Research on Simulation of Electronic-Controlled Pneumatic Regenerative Braking System

2013 ◽  
Vol 278-280 ◽  
pp. 360-364
Author(s):  
Jun Wang ◽  
Jian Huang ◽  
Zhi Quan Qi
Keyword(s):  
Control Strategy ◽  
Energy Recovery ◽  
High Speed ◽  
Regenerative Braking ◽  
Braking System ◽  
Electric Bus ◽  
New Type ◽  
Braking Force ◽  
Braking Control ◽  
Braking Process

In order to improve braking stability and energy recovery ability of electric buses, a new-type electronic-controlled pneumatic regenerative braking system for electric buses was designed. The regenerative braking system controls pneumatic braking force of front and rear wheels by high-speed solenoid valves, which could coordinate mechanical and regenerative braking force effectively. A simulation model of electric bus braking process was established, as well as regenerative braking control strategy. Simulink and AMESim joint simulation analysis of braking process of electric bus was run. The results show that energy recovery of the new-type regenerative braking system is effective and braking control strategy is reasonable.

scholarly journals Regenerative braking control strategy based on joint high-efficiency optimization

2016 ◽  
Vol 8 (10) ◽  
pp. 168781401667353 ◽  
Author(s):  
Tao Deng ◽  
Chunsong Lin ◽  
Bin Chen ◽  
Chuanfu Ma
Keyword(s):  
Control Strategy ◽  
High Efficiency ◽  
Regenerative Braking ◽  
Efficiency Optimization ◽  
Braking Control
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