PID Control of Speed and Torque of Electric Vehicle

2009 ◽  
Author(s):  
Sigeru Omatu ◽  
Michifumi Yos ◽  
Toshihisa Kosaka
Keyword(s):  
Electric Vehicle ◽  
Pid Control

Experimental Study on H∞ Control for United Brake of Electric Vehicle

2011 ◽  
Vol 204-210 ◽  
pp. 498-501
Author(s):  
Chuan Wei Zhang
Keyword(s):  
Robust Control ◽  
Electric Vehicle ◽  
Pid Control ◽  
Control Strategies ◽  
Tracking Error ◽  
Research Work ◽  
Response Speed ◽  
Rotational Inertia ◽  
Variable Load ◽  
Braking Distance

This paper discusses different united brake control strategies of electric vehicle (EV), presents a novel H∞ robust united brake control strategy for EV. Research work is done under different conditions namely variable battery voltage and variable load rotational inertia, separately. A comparison between conventional PID control and H∞ robust control is done when they are applied to the above mentioned conditions. Under the united brake condition, the experimental results show that the braking distance is shortened by the united brake system in the emergent brake; the braking ability of the EV is improved. H∞ robust control has better performance than the traditional PID control both in steady-state tracking error and response speed.

Analysis of Hydraulic Regenerative Braking System for Electric Vehicle

2012 ◽  
Vol 490-495 ◽  
pp. 195-202 ◽  
Author(s):  
Xiao Bing Ning ◽  
Yao Ting Xu ◽  
Qiu Cheng Wang ◽  
Jue Jiang Chen
Keyword(s):  
Electric Vehicle ◽  
Pid Control ◽  
Energy Recovery ◽  
Dynamic Performance ◽  
Regenerative Braking ◽  
Energy Recovery System ◽  
Braking System ◽  
Recovery System ◽  
Driving Range ◽  
Braking Energy Recovery

In order to increase the regenerative braking energy recovery and the dynamic performance of vehicle start and acceleration in the stage of brake, the hydraulic braking energy recovery system was used with the storage battery braking energy recovery system after comparing kinds of regenerative braking recovery plan and energy storage method. The system was used to do simulation and analysis in vehicle dynamic performance and energy recovery efficiency under the PID control and ECE-15 cycle. The system simulation and analysis results show that using hydraulic regenerative braking system in pure electric vehicle can significantly improve the ability of vehicle’s start-acceleration and the increase in vehicle driving range of around 28%.

scholarly journals Electric Vehicle Drive System with Adaptive PID Control

2010 ◽  
Author(s):  
M.S. Couceiro ◽  
C.M. Figueiredo ◽  
C. Lebres ◽  
N.M. Fonseca Ferreira ◽  
J.A. Tenreiro Machado
Keyword(s):  
Electric Vehicle ◽  
Pid Control ◽  
Drive System ◽  
Adaptive Pid Control

scholarly journals Neuro-PID Control for Electric Vehicle

2011 ◽  
Vol 15 (7) ◽  
pp. 846-853 ◽  
Author(s):  
Shigeru Omatu ◽  
◽  
Michifumi Yoshioka ◽  
Toru Fujinaka ◽  
◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Pid Control ◽  
Control Method ◽  
Torque Control ◽  
Learning Ability ◽  
Control Problems ◽  
Process Industries ◽  
The Neural Network ◽  
Control Scheme ◽  
Self Tuning

In this paper we consider the neuro-control method and its application to control problems of an electric vehicle. The neuro-control methods adopted here is based on Proportional-plus-Integral-plus-Derivative (PID) control, which has been adopted to solve process control or intelligent control problems. In Japan about eighty four percent of the process industries have used the PID control. After deriving the self-tuning PID control scheme (neuro-PID) using the learning ability of the neural network, we will show the control results by using the speed and torque control of an electric vehicle.

Study of Water Temperature Control Strategies for Fuel Cell Electric Vehicle Engine System

2009 ◽  
Vol 16-19 ◽  
pp. 208-213
Author(s):  
Guang Yao Zhao ◽  
Cui Yun Peng ◽  
Hai Xia Chen
Keyword(s):  
Fuel Cell ◽  
Fuzzy Control ◽  
Electric Vehicle ◽  
Intelligent Control ◽  
Pid Control ◽  
Cooling Water ◽  
Circulatory System ◽  
Neutral Network ◽  
Fuzzy Pid Control ◽  
Fuel Cell Electric Vehicle

Recently, the technology of fuel cell electric vehicle has won startling progress, because of the energy scarcity and circumstance pollution. Of the technology, one of the key is the hydro-thermal control strategy. This paper, with the analysis of the principle of the proton membrane exchange fuel cell cooling water circulatory system, and the research of modern intelligent control theory and methods such as fuzzy control, neutral network control, PID control etc., makes some research on the above-mentioned system based on the ANFIS neutral network reasoning system control and fuzzy-PID control, and has made well control effects via the establishment of fuzzy control rules. Furthermore works of this paper on the appraisement of different control principle and methods plays an important role on the improvement of the intelligent control level and performance of the proton membrane exchange fuel cell cooling water circulatory system.

Comparative study of PID control algorithms for an electric vehicle

2020 ◽  
Author(s):  
Vinayambika Shreeranga Bhat ◽  
Vishal Kumar ◽  
Nidhi Dayanand ◽  
Akshitha Shettigar ◽  
Nikhitha
Keyword(s):  
Comparative Study ◽  
Electric Vehicle ◽  
Pid Control ◽  
Control Algorithms
Sign in / Sign up

Export Citation Format

Share Document