scholarly journals A Pressure-Coordinated Control for Vehicle Electro-Hydraulic Braking Systems

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2336 ◽  
Author(s):  
Yang Yang ◽  
Guangzheng Li ◽  
Quanrang Zhang
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Energy Recovery ◽  
Functional Limitations ◽  
Coordinated Control ◽  
Pressure Control ◽  
Regenerative Braking ◽  
Recovery Rates ◽  
Efficient Energy ◽  
Simulation Results

The characteristics of electro-hydraulic braking systems have a direct influence on the fuel consumption, emissions, brake safety, and ride comfort of hybrid electric vehicles. In order to realize efficient energy recovery for ensuring braking safety and considering that the existing electro-hydraulic braking pressure control systems have control complexity disadvantages and functional limitations, this study considers the front and rear dual-motor-driven hybrid electric vehicle as the prototype and based on antilock brake system (ABS) hardware, proposes a new braking pressure coordinated control system with electro-hydraulic braking function and developed a corresponding control strategy in order to realize efficient energy recovery and ensure braking safety, while considering the disadvantages of control complexity and functional limitations of existing electro-hydraulic system. The system satisfies the pressure coordinated control requirements of conventional braking, regenerative braking, and ABS braking. The vehicle dynamics model based on braking control strategy and pressure coordinated control system is established, and thereafter, the performance simulation of the vehicle-based pressure coordinated control system under typical braking conditions is carried out to validate the performance of the proposed system and control strategy. The simulation results show that the braking energy recovery rates under three different conditions—variable braking intensity, constant braking intensity and integrated braking model—are 66%, 55% and 47%. The battery state of charge (SOC) recovery rates are 0.37%, 0.31% and 0.36%. This proves that the motor can recover the reduced energy of the vehicle during braking and provide an appropriate braking force. It realizes the ABS control function and has good dynamic response and braking pressure control accuracy. The simulation results illustrate the effectiveness and feasibility of the program which lays the foundation for further design and optimization of the new regenerative braking system.

Pressure Coordinated Control System of Regenerative Braking Based on Hardware of ABS for HEV

2011 ◽  
Vol 121-126 ◽  
pp. 3406-3410 ◽  
Author(s):  
Yang Yang ◽  
Yang Yang ◽  
Da Tong Qin ◽  
Jin Li
Keyword(s):  
Control System ◽  
Simulation Model ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Coordinated Control ◽  
Regenerative Braking ◽  
Design And Optimization ◽  
Braking System ◽  
Dynamic Performances ◽  
Simulation Results

A new kind of pressure coordinated control system suite of regenerative braking system for hybrid electric vehicles (HEV) is proposed in this paper on the basis of appropriate transformation on traditional hydraulic braking system with ABS. AMEsim modular simulation platform is used to build a simulation model of the system. Dynamic performances of the key components and system are simulated and analyzed. And the simulation results show the effectiveness and feasibility of the pressure coordinated control system, which lays the foundation of the design and optimization for the regenerative braking system.

scholarly journals Coordinated Stability Control Strategy for Intelligent Electric Vehicles Using Vague Set Theory

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Yilin He ◽  
Jian Ma ◽  
Xuan Zhao ◽  
Ruoyang Song ◽  
Xiaodong Liu ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Coordinated Control ◽  
Stability Control ◽  
Lateral Acceleration ◽  
Vague Set ◽  
Yaw Rate ◽  
Stability Performance ◽  
Control Target ◽  
Simulation Results

Aiming at improving the tracking stability performance for intelligent electric vehicles, a novel stability coordinated control strategy based on preview characteristics is proposed in this paper. Firstly, the traditional stability control target is introduced with the two degrees of freedom model, which is realized by the sliding mode control strategy. Secondly, an auxiliary control target further amending the former one with the innovation formulation of the preview characteristics is established. At last, a multiple purpose Vague set leverages the contribution of the traditional target and the auxiliary preview target in various vehicle states. The proposed coordinated control strategy is analyzed on the MATLAB/CarSim simulation platform and verified on an intelligent electric vehicle established with A&D5435 rapid prototyping experiment platform. Simulation and experimental results indicate that the proposed control strategy based on preview characteristics can effectively improve the tracking stability performance of intelligent electric vehicles. In the double lane change simulation, the peak value of sideslip angle, yaw rate, and lateral acceleration of the vehicle is reduced by 13.2%, 11.4%, and 8.9% compared with traditional control strategy. The average deviations between the experimental and simulation results of yaw rate, lateral acceleration, and steering wheel angle are less than 10% at different speeds, which demonstrates the consistency between the experimental and the simulation results.

scholarly journals Research on braking energy recovery strategy of electric vehicle based on ECE regulation and I curve

2019 ◽  
Vol 103 (1) ◽  
pp. 003685041987776 ◽  
Author(s):  
Shengqin Li ◽  
Bo Yu ◽  
Xinyuan Feng
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
State Of Charge ◽  
Regenerative Braking ◽  
Force Distribution ◽  
Battery State Of Charge ◽  
Braking Force ◽  
Braking Control ◽  
Braking Energy Recovery

Electric vehicles can convert the kinetic energy of the vehicle into electric energy for recycling. A reasonable braking force distribution strategy is the key to ensure braking stability and the energy recovery rate. For an electric vehicle, based on the ECE regulation curve and ideal braking force distribution (I curve), the braking force distribution strategy of the front and rear axles is designed to study the braking energy recovery control strategy. The fuzzy control method is adopted while the charging power limit of the battery is considered to correct the regenerative braking torque of the motor, the ratio of the regenerative braking force of the motor to the front axle braking force is designed according to different braking strengths, then the braking force distribution and braking energy recovery control strategies for regenerative braking and friction braking are developed. The simulation model of combined vehicle and energy recovery control strategy is established by Simulink and Cruise software. The braking energy recovery control strategy of this article is verified under different braking conditions and New European Driving Cycle conditions. The results show that the control strategy proposed in this article meets the requirements of braking stability. Under the condition of initial state of charge of 75%, the variation of state of charge of braking control strategy in this article is reduced by 8.22%, and the state of charge of braking strategy based on I curve reduces by 9.12%. The braking force distribution curves of the front and rear axle are in line with the braking characteristics, can effectively recover the braking energy, and improve the battery state of charge. Taking the using range of 95%–5% of battery state of charge as calculation target, the cruising range of vehicle with braking control strategy of this article increases to 136.64 km, which showed that the braking control strategy in this article could increase the cruising range of the electric vehicle.

Optimization of Regenerative Braking Control Strategy for Pure Electric Vehicle

2017 ◽  
Vol 872 ◽  
pp. 331-336 ◽  
Author(s):  
Zhi Jun Guo ◽  
Dong Dong Yue ◽  
Jing Bo Wu
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Pso Algorithm ◽  
Regenerative Braking ◽  
Recovery Efficiency ◽  
Constraint Optimization ◽  
Vehicle Model ◽  
Braking Torque ◽  
Braking Control

The regenerative braking strategy for precursor pure electric vehicle was studied in this paper. Firstly, a constraint optimization model was established for the braking force distribution, in which both braking stability and recovery efficiency of braking energy were taken into account. Secondly, Particle Swarm Optimization (PSO) algorithm was applied to optimize the multi key parameters in the model. Finally, the optimized braking torque of the motor was obtained at different speed, different braking strength and different battery charge state. A vehicle model was built to validate the optimized results through simulation. The results showed that, compared with the original control strategy, the optimized control strategy not only could increase the braking stability effectively, but also improve the energy recovery efficiency in a certain extent.

Investigation of Motor-Generator Integration System for Electric Vehicle Based on Induction Motor and Fuzzy Control

2011 ◽  
Vol 328-330 ◽  
pp. 2172-2180 ◽  
Author(s):  
Zhi Long Xing ◽  
Yang Liu ◽  
Yun Feng Liu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Induction Motor ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Direct Torque Control ◽  
Torque Control ◽  
Torque Control Strategy ◽  
Ac Induction Motor

Aiming to solve the energy saving problem in modern electric vehicle, we propose a motor-generator integration control system based on the induction motor and the fuzzy control theory in this paper. A motor-generator hardware platform is built up using the four quadrant characteristic of AC induction motor. The AC induction motor works both as driving motor of the electric vehicle and as well as the energy recovery generator. Specifically, the fuzzy direct torque control strategy is adopted in the motor state, and fuzzy instantaneous torque control strategy in power generation state. A simulation is carried out to analyze the practicality of the proposed control method, the simulation results show that the fuzzy torque control technology is well performed. Finally, a simulative energy recovery experimental platform is built up to test the proposed integration control system, and results shown that the efficiency of energy recovery could be up to 97.3%.

Control System Simulators for Gas-Liquid Cylindrical Cyclone Separators

2000 ◽  
Vol 122 (4) ◽  
pp. 177-184 ◽  
Author(s):  
Shoubo Wang ◽  
Ram S. Mohan ◽  
Ovadia Shoham ◽  
Jack D. Marrelli ◽  
Gene E. Kouba
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Pressure Fluctuations ◽  
Pressure Control ◽  
Liquid Level ◽  
Control Loop ◽  
Level Control ◽  
Two Phase ◽  
Bulk Separation ◽  
Cylindrical Cyclone

The control system performance of gas liquid cylindrical cyclone (GLCC©) separators can be considerably improved by adopting suitable control strategy and optimizing the design of the controller PID settings. Dynamic simulators have been developed in this study, based on Matlab/Simulink® software for evaluation of several different GLCC control philosophies for two-phase flow metering loop and bulk separation applications. Detailed analysis of the GLCC control system simulators indicates that for integrated liquid level and pressure control strategy, the level control loop compliments the operation of the pressure control loop, and vice versa. This strategy is ideal for reducing the pressure fluctuations in the GLCC. At severe slugging conditions, the integrated liquid level control is more desirable because of its faster response. However, there is no control of the GLCC pressure fluctuations. The results also show that the simulators are capable of representing the dynamic behavior of real physical systems. [S0195-0738(00)00504-5]

Design of Brake Pedal Stroke Simulator for Hybrid Electric Car

2013 ◽  
Vol 694-697 ◽  
pp. 73-76 ◽  
Author(s):  
Cong Wang ◽  
Hong Wei Liu ◽  
Liang Yao ◽  
Yan Bo Wang ◽  
Liang Chu ◽  
...  
Keyword(s):  
Control System ◽  
Electric Vehicles ◽  
Energy Recovery ◽  
Design Parameters ◽  
Regenerative Braking ◽  
Brake Pedal ◽  
Braking System ◽  
Electric Car ◽  
Hybrid Electric ◽  
Braking Control

A brake pedal stroke simulator is a key component of realizing a Regenerative Braking System. It provides a good pedal feeling to a driver, improves energy recovery and ensures braking security. This paper presents the hardware solution of the braking control system, the structure and key design parameters of a brake pedal stroke simulator. Through simulation, the energy recover rate and brake pedal feeling of drivers can be improved. The simulator can be used to realize the regenerative braking system in hybrid or electric vehicles.

Analysis of Braking Energy Recovery in EV with EHB

2014 ◽  
Vol 986-987 ◽  
pp. 1183-1186
Author(s):  
Liang Zhou ◽  
Meng Yang Zhao ◽  
Xin Yu Wang ◽  
Xi Chao Li
Keyword(s):  
Electric Vehicles ◽  
Recovery Rate ◽  
Energy Flow ◽  
Energy Recovery ◽  
Regenerative Braking ◽  
Hydraulic Pump ◽  
Braking Performance ◽  
Hydraulic Brake ◽  
Simulation Results ◽  
Braking Energy Recovery

The battery ability of recovering electricity plays a significant role in improving the regenerative braking performance. In this paper, a control for recovery of braking energy in Electric Vehicles (EVs) with electro hydraulic brake (EHB) is proposed, which makes the recovery transfer to the electric hydraulic pump of EHB directly, rather than being stored statically in the battery. An energy flow strategy was designed for the maximum braking energy recovery based on this control. The simulation results show higher energy recovery rate in comparison to the general recycling control.

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