The Investigation of Multiphase Motor Fault Control Strategies for Electric Vehicle Application

2019 ◽  
Vol 15 (1) ◽  
pp. 163-177
Author(s):  
Guangdi Tang ◽  
Wubin Kong ◽  
Tong Zhang
Keyword(s):  
Electric Vehicle ◽  
Control Strategies ◽  
Multiphase Motor

scholarly journals Neoteric Fuzzy control stratagem and design of Chopper fed Multilevel Inverter for enhanced Voltage Output involving Plug-In Electric Vehicle (PEV) applications

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1092 ◽  
Author(s):  
Sunddararaj ◽  
Rangarajan ◽  
Gopalan
Keyword(s):  
Electric Vehicle ◽  
New Technologies ◽  
Control Strategies ◽  
Economic Benefits ◽  
Multilevel Inverter ◽  
Control Logic ◽  
Bidirectional Converters ◽  
Hybrid Controller ◽  
And Control ◽  
Novel Design

The utilization of plug-in electric vehicles (PEV) has started to garner more attention worldwide considering the environmental and economic benefits. This has led to the invention of new technologies and motifs associated with batteries, bidirectional converters and inverters for Electric Vehicle applications. In this paper, a novel design and control of chopper circuit is proposed and configured with the series and parallel connection of the power electronic based switches for two-way operation of the converter. The bidirectional action of the proposed converter makes it suitable for plug-in electric vehicle applications as the grid is becoming smarter. The DC–DC converter is further interfaced with the designed multilevel inverter (MLI). The reduced switches associated with the novel design of MLI have overcome the cons associated with the conventional inverters in terms of enhanced performance in the proposed design. Further, novel control strategies have been proposed for the DC–DC converter based on Proportional Integral (PI) and Fuzzy based control logic. For the first time, the performance of the entire system is evaluated based on the comparison of proposed PI, fuzzy, and hybrid controllers. New rules have been formulated for the Fuzzy based controllers that are associated with the Converter design. This has further facilitated the interface of bidirectional DC–DC converter with the proposed MLI for an enhanced output voltage. The results indicate that the proposed hybrid controller provides better performance in terms of voltage gain, ripple, efficiency and overall aspects of power quality that forms the crux for PEV applications. The novelty of the design and control of the overall topology has been manifested based on simulation using MATLAB/SIMULINK.

scholarly journals Optimization and Model Validation of Operation Control Strategies for a Novel Dual-Motor Coupling-Propulsion Pure Electric Vehicle

Energies ◽  
2018 ◽  
Vol 11 (4) ◽  
pp. 754 ◽  
Author(s):  
Jianjun Hu ◽  
Lingling Zheng ◽  
Meixia Jia ◽  
Yi Zhang ◽  
Tao Pang
Keyword(s):  
Electric Vehicle ◽  
Model Validation ◽  
Control Strategies ◽  
Operation 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.

Conceptual Design and Simulation of the Traction Control System of a High Performance Electric Vehicle

2013 ◽  
Author(s):  
Juan Sebastián Núñez ◽  
Luis Ernesto Muñoz
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Conceptual Design ◽  
High Performance ◽  
Control Strategies ◽  
Traction Force ◽  
Traction Control ◽  
The Road ◽  
Traction Control System ◽  
Low Discrepancy Sequences

This paper presents the conceptual design of the traction control system of a high performance electric vehicle with four driven wheels, intended to be used in quarter mile competitions. Different models of the longitudinal and vertical vehicle’s dynamics are presented, in order to consider the coupling dynamics of front and rear wheels. Two slip control strategies are proposed so as to maximize the traction forces of the wheels. The first one consists of a traditional control scheme applied to each wheel of the vehicle. Since the interaction between the tire and the road is often poorly known, the second controller proposed consists of a perturbation based extremum seeking control (PBESC), in order to maximize the traction force without knowledge of the road and the tire characteristics. Finally an auto tuning process based on low discrepancy sequences for both control systems is presented.

Fuzzy Logic Control Strategy for an Extended-Range Electric Vehicle

2012 ◽  
Vol 220-223 ◽  
pp. 968-972 ◽  
Author(s):  
Ji Gao Niu ◽  
Su Zhou
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Fuzzy Logic Control ◽  
High Efficiency ◽  
Control Strategies ◽  
Vehicle Performance ◽  
Logic Control ◽  
Extended Range ◽  
Avl Cruise

This paper presents a Fuzzy Logic Control Strategy (FLCS) for an Extended-range Electric Vehicle (E-REV) with series structure. The control strategy design objective of the E-REV is fuel economy. Based on the State of Charge (SOC) of the battery and the desired power for driving, the power required by the vehicle is split between the engine/generator set and the battery by the FLCS. The engine can be operated consistently in a very high efficiency area and the SOC of the battery can be maintained at a reasonable level. Some standard driving cycles and two control strategies of Power Follower Control Strategy (PFCS) and FLCS were simulated with AVL-Cruise and Matlab/Simulink to analyze the vehicle performance. Some simulation results are compared and discussed: the FLCS indicates better performance in terms of fuel consumption.

scholarly journals Dual-Multiphase Motor Drives for Fault-Tolerant Applications: Power Electronic Structures and Control Strategies

2018 ◽  
Vol 33 (1) ◽  
pp. 572-580 ◽  
Author(s):  
TiagoJose Dos Santos Moraes ◽  
Ngac Ky Nguyen ◽  
Eric Semail ◽  
Fabien Meinguet ◽  
Mael Guerin
Keyword(s):  
Electronic Structures ◽  
Fault Tolerant ◽  
Control Strategies ◽  
Motor Drives ◽  
Power Electronic ◽  
Multiphase Motor ◽  
And Control

Comparison Study on Two Energy Control Strategies of Plug-In Hybrid Electric Vehicle

2011 ◽  
Vol 474-476 ◽  
pp. 1583-1586
Author(s):  
Qing Sheng Shi ◽  
Xiao Ping Zhang ◽  
Lan Wu
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Control Strategies ◽  
Energy Control ◽  
Simulation Experiments ◽  
Engine Efficiency ◽  
Efficiency Control ◽  
Hybrid Electric ◽  
Vehicle Platform

It is of great importance to manage the energy split of plug-in hybrid electric vehicle during the driving process.In this paper, principle of energy control in plug-in hybrid electric vehicle was first presented. And then, two energy control strategies, including fuel control strategy and engine efficiency control strategy, were analyzed, respectively. Finally, comparision simulation experiments were carried on electric vehicle platform ADVISOR software. Simulation results show that, using fuel control strategy can get a better economy performance but worse engine efficiency; while using engine efficiency control strategy can get a better engine efficiency but higher fuel consumption.

scholarly journals Improved DTC strategy of an electric vehicle with four in-wheels induction motor drive 4WDEV using fuzzy logic control

2021 ◽  
Vol 12 (2) ◽  
pp. 650
Author(s):  
Nair Nouria ◽  
Gasbaoui Brahim Ghazouni Abdelkader ◽  
Benoudjafer Cherif
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Induction Motors ◽  
Control Strategies ◽  
Direct Torque Control ◽  
Torque Control ◽  
The Road ◽  
Time Simulation ◽  
Wheel Drive ◽  
Four Wheel Drive

In this paper, we will study a four-wheel drive electric vehicle (4WDEV)with two control strategies: conventional direct torque control CDTC and DTC based on fuzzy logic (DTFC). Our overall idea in this work is to show that the 4WDEV equipped with four induction motors providing the drive of the driving wheels controlled by the direct fuzzy torque control ensures good stability of the 4WDEV in the different topologies of the road, bends and slopes. and increases the range of the electric vehicle. Numerical simulations were performed on an electric vehicle powered by four 15 kW induction motors integrated into the wheels using the MATLAB / Simulink environment, where the reference speeds of each wheel (front and rear) are obtained using an electronic speed differential (ESD). This can eventually cause it to synchronize the wheel speeds in any curve. The speed of each wheel is controlled by two types of PI and FLC controllers to improve stability and speed response (in terms of setpoint tracking, disturbance rejection and climb time). Simulation results show that the proposed FLC control strategy reduces torque, flux and stator current ripple. While the4WDEV range was improved throughout the driving cycle and battery power consumption was reduced.

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