scholarly journals Development of a Fuzzy Slip Control System for Electric Vehicles with In-wheel Motors

2012 ◽  
Vol 1 (1) ◽  
pp. 46-64 ◽  
Author(s):  
Kiumars Jalali ◽  
Thomas Uchida ◽  
John McPhee ◽  
Steve Lambert
Keyword(s):  
Control System ◽  
Electric Vehicles ◽  
Slip Control

scholarly journals Dead-Time Correction Applied for Extended Flux-Based Sensorless Control of Assisted PMSMs in Electric Vehicles

Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 220
Author(s):  
Cheng Lin ◽  
Jilei Xing ◽  
Xingming Zhuang
Keyword(s):  
Control System ◽  
Electric Vehicles ◽  
Dead Time ◽  
Sensorless Control ◽  
Correction Method ◽  
Time Effect ◽  
Dead Time Correction ◽  
Speed Range ◽  
Time Correction ◽  
The Dead

Sensorless control technology of PMSMs is of great importance for safety and reliability in electric vehicles. Among all existing methods, only the extended flux-based method has great performance over all speed range. However, the accuracy and reliability of the extended flux rotor position observer are greatly affected by the dead-time effect. In this paper, the extended flux-based observer is adopted to develop a sensorless control system. The influence of dead-time effect on the observer is analyzed and a dead-time correction method is specially designed to guarantee the reliability of the whole control system. A comparison of estimation precision among the extended flux-based method, the electromotive force (EMF)-based method and the high frequency signal injection method is given by simulations. The performance of the proposed sensorless control system is verified by experiments. The experimental results show that the proposed extended flux-based sensorless control system with dead-time correction has satisfactory performance over full speed range in both loaded and non-loaded situations. The estimation error of rotor speed is within 4% in all working conditions. The dead-time correction method improves the reliability of the control system effectively.

scholarly journals Active Control of Regenerative Brake for Electric Vehicles

Actuators ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 84 ◽  
Author(s):  
Chun-Liang Lin ◽  
Hao-Che Hung ◽  
Jia-Cheng Li
Keyword(s):  
Control System ◽  
Electric Vehicles ◽  
Pulse Width Modulation ◽  
Short Circuit ◽  
Stopping Time ◽  
Motor Speed ◽  
Short Period ◽  
Braking Torque ◽  
Braking Control ◽  
A Charge

Looking at new trends in global policies, electric vehicles (EVs) are expected to increasingly replace gasoline vehicles in the near future. For current electric vehicles, the motor current driving system and the braking control system are two independent issues with separate design. If a self-induced back-EMF voltage from the motor is a short circuit, then short-circuiting the motor will result in braking. The higher the speed of the motor, the stronger the braking effect. However, the effect is deficient quickly once the motor speed drops quickly. Traditional kinetic brake (i.e., in the short circuit is replaced by a resistor) and dynamic brake (the short circuit brake is replaced by a capacitor) rely on the back EMF alone to generate braking toque. The braking torque generated is usually not enough to effectively stop a rotating motor in a short period of time. In this research task, an integrated driving and braking control system is considered for EVs with an active regenerative braking control system where back electromagnetic field (EMF), controlled by the pulse-width modulation (PWM) technique, is used to charge a pump capacitor. The capacitor is used as an extra energy source cascaded with the battery as a charge pump. This is used to boost braking torque to stop the rotating motor in an efficient way while braking. Experiments are conducted to verify the proposed design. Compared to the traditional kinetic brake and dynamic brake, the proposed active regenerative control system shows better braking performance in terms of stopping time and stopping distance.

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 Desain dan analisis pengaruh parameter PI dan variasi kecepatan pada respon sistem kontrol arah hadap prototype kendaraan listrik

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Afif Caesar Distara ◽  
Fatkhur Rohman
Keyword(s):  
Control System ◽  
Steady State ◽  
Electric Vehicles ◽  
Rise Time ◽  
Small Error ◽  
Settling Time ◽  
System Stability ◽  
Prototype System ◽  
Stability Parameters ◽  
The Stability

Electric vehicles are alternative vehicles that carry energy efficient. At this time the dominant vehicle uses ordinary wheels so that it will become an obstacle in the maneuver function that requires movement in various directions. With mechanum wheels the vehicle can move in various directions by adjusting the direction of rotation of each wheel. The problem is choosing the right control system for the control system needed by the vehicle. The purpose of this study is to determine and analyze the effect of variations in the value of PI (Proportional Integral) and speed of the vehicle to the stability response of the system to control the direction of prototype electric vehicles. This study method is an experiment that is by giving a treatment, then evaluating the effects caused by the research object. The results of this study can be concluded that the variation of PI constant values and speed variations have an effect on the stability parameters of the system, namely rise time, settling time, overshot, and steady state error. To get the best system stability response results can use the constant value PI Kp = 2; and Ki = 17; where the stability response of the system for direction control at each speed condition has a fairly good value with a fast rise time, fast settling time, small overshot and a small error steady state compared to other PI constant values in this study.Keywords: mechanum wheel, PI control, direction, prototype, system stability

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