Comparative Analysis of Series and Parallel Regenerative Braking Control Strategies

2019 ◽  
Vol 08 (03) ◽  
pp. 50-55
Author(s):  
永红 王
Keyword(s):  
Comparative Analysis ◽  
Control Strategies ◽  
Regenerative Braking ◽  
Braking Control

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.

scholarly journals Variable Switch Regenerative Braking Technique for PM BLDC Motor Driven Electric Two-wheeler

2019 ◽  
Vol 87 ◽  
pp. 01029
Author(s):  
Manish Kumar Dubey ◽  
Phaneendra Babu Bobba
Keyword(s):  
Electric Vehicle ◽  
Control Strategies ◽  
Regenerative Braking ◽  
Bldc Motor ◽  
Matlab Simulink ◽  
Simulation Results ◽  
Braking Control ◽  
Two Wheeler

In this paper PM BLDC motor driven electric two-wheeler is proposed. The operation of PMBLDC motor in all four quadrants along with various regenerative braking control strategies are simulated MATLAB/ SIMULINK. Three braking methods are proposed for electric vehicle application. Factors like recovered energy, braking time, maximum braking current are compared. Depending on the simulation results switching between different braking methods is proposed for efficient and reliable braking operation. Moreover, by using variable switch braking technique one can extract more braking energy.

Simulated and Experimental Comparisons of Slip and Torque Control Strategies for Regenerative Braking in Instances of Parametric Uncertainties

2015 ◽  
Vol 27 (3) ◽  
pp. 235-243 ◽  
Author(s):  
Maxime Boisvert ◽  
◽  
Philippe Micheau ◽  
Didier Mammosser
Keyword(s):  
Control Strategies ◽  
Experimental Tests ◽  
Rear Wheel ◽  
Torque Control ◽  
Regenerative Braking ◽  
Parametric Uncertainties ◽  
Vehicle Speed ◽  
Wheel Slip ◽  
Braking Control ◽  
Efficiency Map

<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270003/02.jpg"" width=""340"" />Slip efficiency map & control law</div> A three-wheel hybrid recreational vehicle was studied for the purpose of regenerative braking control. In order to optimize the amount of energy recovered from electrical braking, most of the existing literature presents optimal methods which consist in defining the optimal braking torque as a function of vehicle speed. The originality of the present study is to propose a new strategy based on the control of rear wheel slip. A simulator based on MATLAB/Simulink and validated with experimental measurements compared the two strategies and their sensitivities to variations in mass, slope and road conditions. Numerical simulations and experimental tests show that regenerative braking based on a slip controller was less affected by the majority of the parametric changes. Moreover, since the slip was limited, the longitudinal stability of the vehicle was thereby improved. It thus becomes possible to ensure optimal energy recovery and vehicle stability even in instances of parametric uncertainties.

Study on Regenerative Braking Control Strategy

2012 ◽  
Vol 588-589 ◽  
pp. 1484-1489
Author(s):  
Tian Li Wang ◽  
Chang Hong Chen ◽  
Qing Jie Zhao ◽  
Ying Xiao Yu
Keyword(s):  
Control Strategy ◽  
Control Strategies ◽  
Regenerative Braking ◽  
Force Distribution ◽  
Braking Force ◽  
Braking Control ◽  
Distribution State ◽  
Avl Cruise ◽  
Braking Energy Recovery ◽  
The Ideal

Based on the analysis about the front and rear braking force distribution curve and the motor anti-drag braking characteristic, the Regenerative Braking Control Strategy which can maintain the capacity of the motor braking energy recovery and make the front and rear braking force distribution closer to the ideal distribution state is proposed. Create a control model. It is simulated by AVL-cruise. The results show that the new control strategies can improve the utilization of ground adhesion coefficient and braking stability.

Research on regenerative braking control strategy of plug-in hybrid electric vehicle considering CVT ratio rate of change

2017 ◽  
Vol 232 (14) ◽  
pp. 1931-1943 ◽  
Author(s):  
Jianjun Hu ◽  
Zihan Guo ◽  
Hang Peng ◽  
Dawei Zheng
Keyword(s):  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Control Strategies ◽  
Dynamic Change ◽  
Optimization Method ◽  
Rate Of Change ◽  
Regenerative Braking ◽  
Hybrid Electric ◽  
Braking Control ◽  
Braking Process

At present, the regenerative braking control strategies for hybrid electric vehicles equipped with continuously variable transmission (CVT) mainly focus on improving the regenerative braking efficiency. But the influence of dynamic change of the CVT ratio is not considered with regard to the intended braking effect. For a CVT ratio control strategy based on steady-state optimal efficiency, the performance of motor-only braking and engine/motor combined braking modes are analyzed. The analysis of these modes shows that actual braking strength deviates from that required during the dynamic braking process. After analyzing the dynamic characteristics of a transmission system, a CVT ratio control strategy based on the limitations of the ratio rate of change is proposed, with the use of a discrete exhaustive optimization method. The simulation results show that, under a variety of braking conditions, the proposed regenerative braking control strategy can make the actual braking strength follow the requirements and recover more braking energy.

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 Simulation Research on Regenerative Braking Control Strategy of Hybrid Electric Vehicle

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2202
Author(s):  
Cong Geng ◽  
Dawen Ning ◽  
Linfu Guo ◽  
Qicheng Xue ◽  
Shujian Mei
Keyword(s):  
Control Strategy ◽  
Energy Recovery ◽  
Hybrid Electric Vehicle ◽  
Control Strategies ◽  
Front Axle ◽  
Regenerative Braking ◽  
Force Distribution ◽  
Braking Force ◽  
Braking Control ◽  
Braking Energy Recovery

This paper proposes a double layered multi parameters braking energy recovery control strategy for Hybrid Electric Vehicle, which can combine the mechanical brake system with the motor brake system in the braking process to achieve higher energy utilization efficiency and at the same time ensure that the vehicle has sufficient braking performance and safety performance. The first layer of the control strategy proposed in this paper aims to improve the braking force distribution coefficient of the front axle. On the basis of following the principle of braking force distribution, the braking force of the front axle and the rear axle is reasonably distributed according to the braking strength. The second layer is to obtain the proportional coefficient of regenerative braking, considering the influence of vehicle speed, braking strength, and power battery state of charge (SOC) on the front axle mechanical braking force and motor braking force distribution, and a three-input single-output fuzzy controller is designed to realize the coordinated control of mechanical braking force and motor braking force of the front axle. Finally, the AMESim and Matlab/Simulink co-simulation model was built; the braking energy recovery control strategy proposed in this paper was simulated and analyzed based on standard cycle conditions (the NEDC and WLTC), and the simulation results were compared with regenerative braking control strategies A and B. The research results show that the braking energy recovery rate of the proposed control strategy is respectively 2.42%, 18.08% and 2.56%, 16.91% higher than that of the control strategies A and B, which significantly improves the energy recovery efficiency of the vehicle.

Multi-Lookup Table Based Regenerative Braking Strategy of Plug-in Hybrid Electric Vehicle

2010 ◽  
Vol 44-47 ◽  
pp. 1509-1513 ◽  
Author(s):  
Qing Sheng Shi ◽  
Xiao Ping Zhang ◽  
Fuan Chen
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Control Strategies ◽  
Distribution Coefficients ◽  
Lookup Table ◽  
Regenerative Braking ◽  
Hybrid Electric ◽  
Braking Control ◽  
Novel Strategy

. In order to improve the energy efficiency of plug-in hybrid electric vehicles, it is important to design a suitable regenerative braking strategy. There are many control strategies that have been developed and presented for plug-in hybrid electric vehicles. Most of them are aimed to energy flow management, and seldom involves regenerative braking control. In this paper, a regenerative braking strategy based on multi-lookup table method is proposed for plug-in hybrid electric vehicles. Decelerations are introduced as the index of Table Selector, so braking force distribution coefficients can be flexibly adjusted using the proposed strategy. Finally, the simulation results show the validity of the novel strategy.

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.

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