Parameter matching and braking performance advantage study for all-electric independent driving and braking electric vehicle with four wheels

2019 ◽  
Vol 11 (2) ◽  
pp. 106
Author(s):  
Di Tan ◽  
Jishun Liu ◽  
Xueyi Zhang ◽  
Jie Wang ◽  
Kun Yang
Keyword(s):  
Electric Vehicle ◽  
Braking Performance ◽  
Parameter Matching

Research on parameter matching of electric vehicle power system based on genetic algorithm

2020 ◽  
Author(s):  
Hongtao Wang ◽  
Honglian Zhou ◽  
Qian Cao ◽  
Mengke Liao ◽  
Bin Wang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Electric Vehicle ◽  
Parameter Matching

Research on Simulation Algorithm of Series Hybrid Electric Vehicle Energy and Intelligent Control

2017 ◽  
Vol 9 (4) ◽  
pp. 33-77
Author(s):  
Tao Gao
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Practical Significance ◽  
Pollutant Emission ◽  
Series Hybrid Electric Vehicle ◽  
Parameter Matching ◽  
Hybrid Electric ◽  
Future Direction ◽  
Long Endurance ◽  
Simulation Task

Hybrid electric vehicle (HEV) is a kind of new cars with low fuel consumption and low emissions, which combines the advantages of traditional vehicle's long endurance and no-pollution of pure electric vehicles. It represents the future direction of development of vehicle for a period of time. Therefore, the research of HEV technology has important practical significance to the development of China's automobile. This paper takes Shijiazhuang bus as the research object, makes parameter matching according to the parameters of the vehicle, builds the vehicle model using Cruise software, set the simulation task, and studies the control strategy to reduce automobile fuel and pollutant emission targets. The research of this paper has certain directive significance to the modeling and energy optimization of hybrid electric vehicle.

A Study on the Parameter Matching and Optimization of FCV Powertrain

2014 ◽  
Vol 602-605 ◽  
pp. 2848-2854
Author(s):  
Xiao Liang ◽  
Ye Lu ◽  
Wei Ming Liang ◽  
Fen Liu
Keyword(s):  
Fuel Cell ◽  
System Design ◽  
Electric Vehicle ◽  
Fuel Cell Vehicle ◽  
Powertrain System ◽  
Parameter Matching ◽  
Fuel Cell Electric Vehicle

This article take powertrain system design of fuel cell electric vehicle (FCV) as researching object, focus on parameter matching and optimization of powertrain system for FCV, and makes parameter matching and optimization of powertrain system for a fuel cell vehicle.

Study on the Traction Motor Characteristic for Hybrid Electric Vehicle

2014 ◽  
Vol 533 ◽  
pp. 321-327
Author(s):  
Wei Wang ◽  
Guang Kui Shi ◽  
Hong Wei Zhang
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Control Mode ◽  
Theoretical Principle ◽  
Traction Motor ◽  
Parameter Matching ◽  
Overall Performance ◽  
Hybrid Electric ◽  
And Performance ◽  
Reliability Performance

The basic characteristic for traction motor of hybrid electric vehicle affected the dynamics, economy as well as reliability performance for the vehicle directly. The paper derived all kinds of requirements for traction motor according to how improve the overall performance for vehicle. The control mode, static characteristics and dynamic characteristics for the traction motor were separately proposed, and performance index for traction motor were quantitative or quantitative analyzed. As a result, theoretical principle was supplied for parameter matching and evaluation for traction in this paper.

scholarly journals Slip Control of Electric Vehicle Based on Tire-Road Friction Coefficient Estimation

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Gaojian Cui ◽  
Jinglei Dou ◽  
Shaosong Li ◽  
Xilu Zhao ◽  
Xiaohui Lu ◽  
...  
Keyword(s):  
Friction Coefficient ◽  
Electric Vehicle ◽  
Slip Ratio ◽  
Braking Performance ◽  
Slip Control ◽  
Coefficient Estimation ◽  
Road Friction ◽  
Braking Torque ◽  
Novel Method ◽  
Road Friction Coefficient

The real-time change of tire-road friction coefficient is one of the important factors that influence vehicle safety performance. Besides, the vehicle wheels’ locking up has become an important issue. In order to solve these problems, this paper comes up with a novel slip control of electric vehicle (EV) based on tire-road friction coefficient estimation. First and foremost, a novel method is proposed to estimate the tire-road friction coefficient, and then the reference slip ratio is determined based on the estimation results. Finally, with the reference slip ratio, a slip control based on model predictive control (MPC) is designed to prevent the vehicle wheels from locking up. In this regard, the proposed controller guarantees the optimal braking torque on each wheel by individually controlling the slip ratio of each tire within the stable zone. Theoretical analyses and simulation show that the proposed controller is effective for better braking performance.

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