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.

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.

Study on Regenerative Braking Control Algorithm

2014 ◽  
Vol 898 ◽  
pp. 873-877 ◽  
Author(s):  
Jian Wei Cai ◽  
Liang Chu ◽  
Zi Cheng Fu ◽  
Yan Bo Wang ◽  
Wen Hui Li
Keyword(s):  
Energy Recovery ◽  
Control Strategies ◽  
Regenerative Braking ◽  
Brake Pedal ◽  
Hydraulic Unit ◽  
Recovery System ◽  
Braking Control ◽  
Vehicle Test ◽  
Pedal Feel ◽  
Braking Energy Recovery

Based on the traditional hydraulic unit of ESC, Jilin University developed a braking energy recovery system of uniaxial decoupled. A first-order hysteresis filtering method with filtering time factor adaptively corrected was used to calculate driver's braking demand based on pressure of the master cylinder. A series of fixed partition coefficient control strategy was developed, coordinated control of electrical regenerative braking and hydraulic braking was carried out. Vehicle test was carried out. Vehicle test results show that the brake pedal travel simulator and the braking control strategies can improve the energy recovery, and ensure that the brake pedal feel is consistent with the traditional vehicle.

Analysis of Influence Factors on Braking Energy Recovery of Pure Electric Vehicle

2014 ◽  
Vol 494-495 ◽  
pp. 214-218
Author(s):  
Jian Wei Cai ◽  
Liang Chu ◽  
Wen Ruo Wei ◽  
Yong Sheng Zhang ◽  
Wen Hui Li
Keyword(s):  
Electric Vehicle ◽  
Energy Recovery ◽  
Control Strategies ◽  
Influence Factors ◽  
Regenerative Braking ◽  
Braking System ◽  
Vehicle Mass ◽  
Braking Control ◽  
Braking Energy Recovery ◽  
Main Influence

Based on the analysis the theoretical of regenerative braking and energy flow of the pure electric vehicle, the main influence factors of braking energy recovery were obtained. Ignoring the energy loss and the efficiency of system components as well as the response delay of the hydraulic braking system, two different regenerative braking control strategies were established without regard to the braking force distribution restrictions of the relevant brake laws. The simulation model was built on MATLAB/Simulink platform to analysis the effect of control strategies, vehicle mass and driving cycle for pure electric vehicle braking energy recovery. It was guidance for the development of pure electric vehicle braking energy recovery control strategy.

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.

Collaborative control of a dual electro-hydraulic regenerative brake system for a rear-wheel-drive electric vehicle

2018 ◽  
Vol 233 (4) ◽  
pp. 1035-1046 ◽  
Author(s):  
Jonathan Nadeau ◽  
Philippe Micheau ◽  
Maxime Boisvert
Keyword(s):  
Electric Vehicle ◽  
Energy Recovery ◽  
Rear Wheel ◽  
Brake System ◽  
Force Distribution ◽  
Hydraulic Brake ◽  
Brake Pressure ◽  
Wheel Drive ◽  
Brake Force ◽  
Brake Force Distribution

Within the field of electric vehicles, the cooperative control of a dual electro-hydraulic regenerative brake system using the foot brake pedal as the sole input of driver brake requests is a challenging control problem, especially when the electro-hydraulic brake system features on/off solenoid valves which are widely used in the automotive industry. This type of hydraulic actuator is hard to use to perform a fine brake pressure regulation. Thus, this paper focuses on the implementation of a novel controller design for a dual electro-hydraulic regenerative brake system featuring on/off solenoid valves which track an “ideal” brake force distribution. As an improvement to a standard brake force distribution, it can provide the reach of the maximum braking adherence and can improve the energy recovery of a rear-wheel-drive electric vehicle. This improvement in energy recovery is possible with the complete substitution of the rear hydraulic brake force with a regenerative brake force until the reach of the electric powertrain constraints. It is done by performing a proper brake pressure fine regulation through the proposed variable structure control of the on/off solenoid valves provided by the hydraulic platform of the vehicle stability system. Through road tests, the tracking feasibility of the proposed brake force distribution with the mechatronic system developed is validated.

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.

Conceptualization and Modeling of a Flywheel-Based Regenerative Braking System for a Commercial Electric Bus

2019 ◽  
Vol 12 (4) ◽  
Author(s):  
Kunal Mathur ◽  
Lalit Kumar Choudhary ◽  
Aditya Manoj Natu ◽  
Krovvidi Srinivas ◽  
Vikas Rastogi
Keyword(s):  
Regenerative Braking ◽  
Braking System ◽  
Electric Bus
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