scholarly journals Integrated DYC and ASR Mixed Control of Distributed Drive Electric Vehicle Using Co-Simulation Methodology

2021 ◽  
Author(s):  
Xinwen Zhang ◽  
Qiang Li ◽  
Agyei Philip ◽  
Lu Zhao ◽  
Xeihui Wang ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Control Strategies ◽  
Electronic Control Unit ◽  
Slip Rate ◽  
Switching Control ◽  
Mode Switching ◽  
Dual Mode ◽  
Mixed Control ◽  
Distributed Drive Electric Vehicle

Abstract The improvement of handling and stability performance of distributed drive electric vehicle (DDEV) is analyzed, visualized and designed by proposing and deploying the mixed control strategies in this paper including Direct Yaw Control (DYC), Anti-slip Regulation (ASR) and dual-mode switching control. The practicability and real time visualization of driving efficiency and timeliness of DDEV is achieved to reduce the margin of error for the desired torque value by employing the DYC strategy which uses fuzzy PID algorithm. Furthermore the ASR strategy which adopts the optimal slip rate algorithm to determine the requirement of desired torque value based on the different road conditions is used to reduce slip phenomenon effectively and to maintain handling control of DDEV. In response to different scenes especially conflict and coexistence between DYC and ASR, the dual-mode switching control strategy is applied to find more suitable slip rate range by using the root mean square error method (REME). Finally, co-simulation platform of ADAMS/Car and MATLAB/Simulink is built to simulate the mixed control strategies by integrating dual-mode switching control, DYC and ASR. The simulation results show that this strategy has a more significant control effect needed to meet the requirements of normal vehicle handling and stability. The mixed control strategy is adopted and downloaded into the electronic control unit of our student type formula vehicle called Flash V6 which was designed and developed by a team of students, the ZUST ATTACKER Team.

Research on Control Strategy of Differential Assisted Steering of Distributed Drive Electric Vehicle

2013 ◽  
Vol 431 ◽  
pp. 241-246
Author(s):  
Yi Chen ◽  
Jun Liu
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Characteristic Curve ◽  
Work Load ◽  
Steering Wheel ◽  
Vehicle Speed ◽  
The Road ◽  
Power Steering ◽  
Wheel Torque ◽  
Distributed Drive Electric Vehicle

The distributed drive electric vehicle was studied in this paper. According to the advantages of the controllable and accurate wheel speed and torque the ideal differential assisted characteristic curve was designed under different vehicle speed as well as a control strategy for differential power steering, a vehicle dynamics model based on CarSim/Simulink and simulation experiments were conducted. The experimental results indicated that on the premise to guarantee the road feeling, the control strategy for differential power steering decreased the steering wheel torque, angle and reduced driver's work-load , improved markedly the steering portability of the distributed drive electric vehicle.

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.

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 Torque Coordination Control of an Electro-Hydraulic Composite Brake System During Mode Switching Based on Braking Intention

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2031
Author(s):  
Yang Yang ◽  
Yundong He ◽  
Zhong Yang ◽  
Chunyun Fu ◽  
Zhipeng Cong
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Pressure Control ◽  
Smooth Transition ◽  
Mode Switching ◽  
Coordination Control ◽  
Braking System ◽  
Braking Torque

The electro-hydraulic composite braking system of a pure electric vehicle can select different braking modes according to braking conditions. However, the differences in dynamic response characteristics between the motor braking system (MBS) and hydraulic braking system (HBS) cause total braking torque to fluctuate significantly during mode switching, resulting in jerking of the vehicle and affecting ride comfort. In this paper, torque coordination control during mode switching is studied for a four-wheel-drive pure electric vehicle with a dual motor. After the dynamic analysis of braking, a braking force distribution control strategy is developed based on the I-curve, and the boundary conditions of mode switching are determined. A novel combined pressure control algorithm, which contains a PID (proportional-integral-derivative) and fuzzy controller, is used to control the brake pressure of each wheel cylinder, to realize precise control of the hydraulic brake torque. Then, a novel torque coordination control strategy is proposed based on brake pedal stroke and its change rate, to modify the target hydraulic braking torque and reflect the driver’s braking intention. Meanwhile, motor braking torque is used to compensate for the insufficient braking torque caused by HBS, so as to realize a smooth transition between the braking modes. Simulation results show that the proposed coordination control strategy can effectively reduce torque fluctuation and vehicle jerk during mode switching.

Study on Electronic Differential Control for a Mini Electric Vehicle with Dual In-Wheel-Motor Rear Drive

2014 ◽  
Vol 525 ◽  
pp. 346-350 ◽  
Author(s):  
Shun Yan Hou ◽  
Zhi Yuan Li ◽  
Tao Wang ◽  
Lian Lu Pang ◽  
Zhi Yuan Feng
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Load Transfer ◽  
Control Variable ◽  
Slip Rate ◽  
Control Objective ◽  
Wheel Torque ◽  
The Moment ◽  
Acceleration Mode ◽  
Differential Control

An electronic differential control system (EDS) has been designed based on a mini electric vehicle (EV) with dual in-wheel-motor rear drive. In view of imperfection of current strategy with speed and moment as control variables, a new control strategy for EDS in a two in-wheel-motor drive EV is proposed with the moment of driving wheel torque as control variable and the slip rate equilibrium of two driving wheels as control objective, considering the effects of axle load transfer. The differential control experiments are conducted with steering mode and straight acceleration mode based on the vehicle prototype. The results show that the control strategy is reasonable, and the controller can effectively realize EV electronic differential by coordinating the moment of two driving wheels.

Comparison of Control Allocation Algorithms Used in Stability Control of Four In-Wheel-Motors Drive Electric Vehicle

2013 ◽  
Vol 437 ◽  
pp. 669-673 ◽  
Author(s):  
Peng Fei Yang ◽  
Lu Xiong ◽  
Zhuo Ping Yu
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Control Strategies ◽  
Optimization Method ◽  
Stability Control ◽  
The Other ◽  
Control Allocation ◽  
The Stability ◽  
Allocation Algorithms ◽  
Real Vehicle

Design the stability control strategy of four in-wheel-motors drive electric vehicle (EV) based on control allocation. Two kinds of control allocation methods are designed in this paper, one is the quadratic programming (QP), and the other is a simplified optimization method (SOM). Comparing and evaluating the control strategies through the co-simulation with MATLAB software and CARSIM software. The results of the simulation show: both strategies could stabilize the vehicle posture well under critical condition. QP has more accuracy than SOM, and could rebuild the system automatically when the motor fails. But the SOM doesn’t need iteration, could be possible to use in the real vehicle.

Analysis of Electric Vehicle Battery Charging and Discharging

2014 ◽  
Vol 556-562 ◽  
pp. 1879-1883 ◽  
Author(s):  
Zhe Ci Tang ◽  
Chun Lin Guo ◽  
Dong Ming Jia
Keyword(s):  
Power System ◽  
Simulation Model ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Control Strategies ◽  
Load Capacity ◽  
Battery Charging ◽  
Electric Vehicle Battery ◽  
Working Principle

The more popular of electric vehicles is, the higher the load capacity of the battery is in the power system, therefore, the charging and discharging technology is particularly important. This paper introduces several electric vehicle battery charging methods commonly used at present, describes working principle of the bidirectional DC/DC converter in detail in the battery charging and discharging process, and the bidirectional DC/DC charging and discharging control strategy. Finally, the electric vehicle battery charging and discharging simulation model is built, the validity of the electric vehicle battery charging and discharging model is verified based on control strategies mentioned herein by use of simulation.

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