Study on Control Strategy for Electric Starting up of Pure Electric Vehicle

2014 ◽  
Vol 721 ◽  
pp. 313-316 ◽  
Author(s):  
Liang Chu ◽  
Chong Guo ◽  
Pei Zhi Zhang ◽  
Zi Cheng Fu ◽  
Yuan Jian Zhang
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Pid Controller ◽  
Strategy Use ◽  
Matlab Simulink ◽  
Low Speed ◽  
Start Up ◽  
Simulation Results

In order to ensure that pure electric vehicle can start up quickly and pleasantly, this article proposes a control strategy for electric starting up of pure electric vehicle. Electric starting up strategy use PID controller to adjust the torque, so the vehicle can start up quickly, and finally reach a low speed. This article completed the offline simulation under MATLAB/Simulink, and simulation results showed that the control strategy not only can reach a low speed quickly after starting up, but also ensures driver feeling well.

Study on the Control Strategy of Slope Starting for Pure Electric Vehicle

2014 ◽  
Vol 721 ◽  
pp. 317-321
Author(s):  
Liang Chu ◽  
Chong Guo ◽  
Pei Zhi Zhang ◽  
Zi Cheng Fu ◽  
Yuan Jian Zhang
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Motor Speed ◽  
Low Speed ◽  
The Road ◽  
Prediction Module ◽  
Road Grade ◽  
The Common ◽  
Simulation Results ◽  
Good Feeling

In order to ensure that pure electric vehicle can accurately identify the road grade, and has a high safety and good feeling, this article proposes a control strategy for slope starting of pure electric vehicle. Slope prediction module can accurately calculate and predict the road grade based on motor speed and vehicle-related parameters. Slope starting strategy allows the vehicle to stop on a small slope, and keep a low speed on a large slope, and can make the feeling of slope starting consistent with the common road. This article completed the offline simulation under MATLAB/Simulink, and simulation results showed that the control strategy not only can accurately identify the road grade, but also has a high safety and good feeling.

Road Feel Design for Vehicle Steer-by-Wire System Based on Joystick

2013 ◽  
Vol 336-338 ◽  
pp. 734-737
Author(s):  
Hong Yu Zheng ◽  
Ya Ning Han ◽  
Chang Fu Zong
Keyword(s):  
Computer Simulation ◽  
Control Strategy ◽  
Vehicle Speed ◽  
Control Module ◽  
Matlab Simulink ◽  
The Road ◽  
Steering Feel ◽  
Steer By Wire ◽  
Simulation Results ◽  
Wire System

In order to solve the problem of road feel feedback of vehicle steer-by-wire (SBW) system based on joystick, a road feel control strategy was established to analyze the road feel theory of traditional steer system, which included return, assist and damp control module. By verifying the computer simulation results with the control strategy from software of CarSim and Matlab/Simulink, it shows that the proposed strategy can effective get road feel in different vehicle speed conditions and could improve the vehicle maneuverability to achieve desired steering feel by different drivers.

scholarly journals New DTC strategy of multi-machines single-inverter systems for electric vehicle traction applications

2020 ◽  
Vol 11 (2) ◽  
pp. 641
Author(s):  
Taibi Ahmed ◽  
Hartani Kada ◽  
Allali Ahmed
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Control Structure ◽  
Synchronous Machines ◽  
Permanent Magnet Synchronous Machines ◽  
Structure Control ◽  
The Subject ◽  
Simulation Results ◽  
The Stability ◽  
Traction System

In high power traction system applications two or more machines are fed by one converter. This topology results in a light, more compact and less costly system. These systems are called multi-machines single-converter systems. The problems posed by different electrical and mechanical couplings in these systems (MMS) affect various stages of the systems and require control strategy to reduce adverse effects. Control of multi-machines single-converter systems is the subject of this paper. The studied MMS is an electric vehicle with four in-wheel PMS motors. A three-leg inverter supplies two permanent magnet synchronous machines which are connected to the front right and rear right wheels, and another inverter supplies the left side. Several methods have been proposed for the control of multi-machines single-inverter systems, the master-slave control structure seems best adapted for our traction system. In this paper, a new control structure based on DTC method is used for the control of bi-machine traction system of an EV. This new control has been implanted in simulation to analyze its robustness in the presence of the various load cases involved in our electric vehicle traction chain. Simulation results indicated that this structure control allowed the stability of the traction system.

Comparative Study on Several PQ and V/f Controller Models in Micro-Grid

2014 ◽  
Vol 1044-1045 ◽  
pp. 738-742
Author(s):  
Wen Xia You ◽  
Zi Heng Zhou ◽  
Jun Xiao Chang ◽  
Gang Sun
Keyword(s):  
Comparative Study ◽  
Control Strategy ◽  
Matlab Simulink ◽  
Micro Grid ◽  
Simulation Results ◽  
Dynamic Quality

Many references have been focused on PQ controllers and V/f controllers, but there are some models with different components share the same control strategy. These models have different simulation results of their own. In this paper, two ordinary PQ controllers and two ordinary V/f controllers have been chosen to study the simulation results of them by Matlab/Simulink. By analyzing voltage and current waveforms of load, it has been decided which PQ controller has result which contains less unbalanced current and less harmonics, and so it is with the V/f controllers. Then the chosen controllers have been applied to an example of Master-slave control strategy for a simple micro-grid, which furthermore proves the dynamic quality of the chosen models. In this way, the problem to choose better models is solved.

A Research on the Fuzzy Control Strategy for Parallel Hybrid Electric Vehicle

2011 ◽  
Vol 121-126 ◽  
pp. 2522-2526
Author(s):  
Ling Cai ◽  
Liang Ge
Keyword(s):  
Fuzzy Control ◽  
Electric Vehicle ◽  
Energy Management ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Controller ◽  
Secondary Development ◽  
Simulation Results ◽  
Hybrid Electric ◽  
Fuzzy Control Strategy

Several kinds of methods of energy management of hybrid electric vehicle (HEV) are analyzed. Based on the design requirement of a certain type of parallel HEV, the fuzzy control strategy of energy management is proposed. ADVISOR2002 is chosen as the simulation platform for secondary development, and the simulation results of the fuzzy control strategy and electric assist control strategy are compared. The simulation results indicate that the adaptive fuzzy controller can obviously improve the performance of HEV fuel economy and emissions.

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.

The Simulation Study of Pure Electric Vehicle with Dual-Energy Storage System Based on Matlab/Simulink

2013 ◽  
Vol 437 ◽  
pp. 213-216
Author(s):  
Shuang Du ◽  
Chun Cheng Zuo
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Storage System ◽  
Simulation Models ◽  
Energy Storage System ◽  
Dual Energy ◽  
Matlab Simulink ◽  
Fuzzy Control Strategy ◽  
Ultra Capacitor

Through matlab/simulink, the simulation models of Pure Electric Vehicle (PEV) with Dual-Energy Storage System (DESS) composed of batteries and ultra-capacitor are established. The paper designs the fuzzy control strategy for DESS and puts PEV with DESS and PEV with Single-Energy Storage System (SESS) state of capacity (SOC) of batteries comparison. Also it analyses advantages and prospects of development for PEV with DESS.

Simulation and Modeling

2018 ◽  
pp. 1600-1632
Author(s):  
Tawanda Mushiri ◽  
Charles Mbohwa
Keyword(s):  
Power Plant ◽  
Control Strategy ◽  
Pid Controller ◽  
Literature Survey ◽  
Simulation And Modeling ◽  
System Parameters ◽  
Governing System ◽  
On Line ◽  
Computer Based ◽  
Simulation Results

The chapter describes the design of the speed governing system of 150 MW Francis turbines at a power station. The turbine governing system is vital for the safety and availability of a power plant. The dynamic characteristics of the turbine system are nonlinear and difficult to predict. The identification, development and implementation of the hydraulic system for the power plant were done via literature survey and computer based simulations and also analyzed by comparing different controllers through simulation. The governor system parameters were simulated with the actual data available in the power plant. Traditional PID controller parameters are difficult to tune when used in control systems and a fuzzy PID which can tune the parameters on-line is introduced to be appropriate in the turbine governing control system. In MATLAB/SMULINK simulation environment, the simulation results show that fuzzy logic PID control strategy has better performances than traditional PID controller.

The Application of Fuzzy PID Controller in Wrecker Uprighting System

2014 ◽  
Vol 513-517 ◽  
pp. 3895-3899
Author(s):  
Cheng Xu Lv ◽  
Wei Gong Zhang ◽  
Xu Li
Keyword(s):  
Pid Controller ◽  
Model Simulation ◽  
Response Speed ◽  
Step Response ◽  
Hydraulic Circuit ◽  
Fuzzy Pid ◽  
Matlab Simulink ◽  
Fuzzy Pid Controller ◽  
Simulation Results ◽  
Automation Level

In order to improve the automation level of wrecker, fuzzy PID controller for the uprighting was proposed. First, the uprighting model was built in this article. Then, the hydraulic circuit of wrecker uprighting system was built in AMESim. Furthermore, the fuzzy PID controller and the conventional PID controller were simulated respectively in Matlab\Simulink software based on this model. Simulation results show that the fuzzy PID controller has faster step response speed and smaller overshoot than that of the conventional PID controller. The uprighting can be accomplished automatically and smoothly by virtue of the fuzzy PID controller.

The Design and Simulation of Electric-Vehicle Charger Control Strategy

2011 ◽  
Vol 267 ◽  
pp. 941-946
Author(s):  
Hong Bo Sun ◽  
Gang Zhao
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Control Object ◽  
Matlab Simulation ◽  
Electric Cars ◽  
Charging Control ◽  
Simulation Results

In this paper, we analysis vehicle power batteries of the small electric cars, especially on its changes in charge characteristics and electric-vehicle charger specificity control object, and design a new charging control strategy of electric-vehicle charger. MATLAB simulation results show the validity and rationality of the strategy.

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