Longitudinal-vertical integrated sliding mode controller for distributed electric vehicles

2020 ◽  
Vol 63 (11) ◽  
Author(s):  
Yan Ma ◽  
Jinyang Zhao ◽  
Haiyan Zhao ◽  
Hong Chen ◽  
Tielong Shen
Keyword(s):  
Electric Vehicles ◽  
Sliding Mode ◽  
Sliding Mode Controller

scholarly journals A sliding mode algorithm for antilock braking/traction control of EVs

2015 ◽  
Vol 18 (3) ◽  
pp. 174-182 ◽  
Author(s):  
Minh Ngoc Vu ◽  
Minh Cao Ta
Keyword(s):  
Electric Vehicles ◽  
Driving Force ◽  
Control Method ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Control Performance ◽  
Slip Ratio ◽  
Traction Control ◽  
Road Condition ◽  
Wheel Model

This paper presents a slip suppression controller using sliding mode control method for electric vehicles which aims to improve the control performance of Evs in both driving and braking mode. In this method, a sliding mode controller is designed to obtain the maximum driving force by suppressing the slip ratio. The numerical simulations for one wheel model under variations in mass of vehicle and road condition are performed and demonstrated to show the effectiveness of the proposed method.

scholarly journals A Robust Fuzzy Sliding Mode Controller Synthesis Applied on Boost DC-DC Converter Power Supply for Electric Vehicle Propulsion System

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Boumediène Allaoua ◽  
Brahim Mebarki ◽  
Abdellah Laoufi
Keyword(s):  
Power Electronics ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
High Power ◽  
Power Supply ◽  
Sliding Mode ◽  
Propulsion System ◽  
Control Law ◽  
Sliding Mode Controller ◽  
Fuzzy Sliding Mode

The development of electric vehicles power electronics system control comprising of DC-AC inverters and DC-DC converters takes a great interest of researchers in the modern industry. A DC-AC inverter supplies the high power electric vehicle motors torques of the propulsion system and utility loads, whereas a DC-DC converter supplies conventional low-power, low-voltage loads. However, the need for high power bidirectional DC-DC converters in future electric vehicles has led to the development of many new topologies of DC-DC converters. Nonlinear control of power converters is an active area of research in the fields of power electronics. This paper focuses on a fuzzy sliding mode strategy (FSMS) as a control strategy for boost DC-DC converter power supply for electric vehicle. The proposed fuzzy controller specifies changes in the control signal based on the surface and the surface change knowledge to satisfy the sliding mode stability and attraction conditions. The performances of the proposed fuzzy sliding controller are compared to those obtained by a classical sliding mode controller. The satisfactory simulation results show the efficiency of the proposed control law which reduces the chattering phenomenon. Moreover, the obtained results prove the robustness of the proposed control law against variation of the load resistance and the input voltage of the studied converter.

Improvement in the vehicle stability of distributed-drive electric vehicles based on integrated model-matching control

2017 ◽  
Vol 232 (3) ◽  
pp. 341-356 ◽  
Author(s):  
Xudong Zhang ◽  
Dietmar Göhlich
Keyword(s):  
Electric Vehicles ◽  
Sliding Mode ◽  
Integrated Model ◽  
Recursive Least Squares ◽  
Adaptive Sliding Mode Control ◽  
Vehicle Stability ◽  
Sliding Mode Controller ◽  
Model Matching ◽  
Vehicle Motion ◽  
Yaw Moment

This paper presents a vehicle dynamic stability controller for distributed-drive electric vehicles. A hierarchical control structure is adopted for the proposed controller. An upper controller is designed on the basis of integrated model-matching control. It consists of a feedforward component plus a feedback component to calculate the desired external yaw moment to achieve the desired vehicle motion. The feedforward control aims at compensating the effect caused by the variation in the linear cornering stiffnesses of the tyres during the life cycle of the tyres. It provides a rapid response under common driving conditions. The linear cornering stiffnesses of the tyres are estimated in real time by the adaptive forgetting-factor recursive least-squares method. Since many vehicle parameters have strongly non-linear and time-varying characteristics, adaptive sliding mode control is used as the feedback component to make the controller robust against systematic uncertainties. To combine the outputs of feedforward and feedback together and to avoid probable conflict, a weight gain coefficient is obtained. Additionally, a conventional sliding-mode controller is introduced as a comparative upper control strategy. The lower controller is utilized to allocate the required yaw moment and traction to the four independent motors, taking into account the tyre grip margins. Simulations for a low- g manoeuvre and a high- g manoeuvre are carried out to evaluate the proposed control algorithm. The results show that the proposed vehicle stability controller can significantly stabilize the vehicle motion and greatly reduce the driver’s workload in comparison with with the conventional sliding-mode controller.

scholarly journals Sliding Mode Controller for Electric Vehicles based on Switched Boost Converter

2021 ◽  
Vol 1964 (4) ◽  
pp. 042093
Author(s):  
Syed Masood Hussain ◽  
Balachandra Pattanaik ◽  
Wondimagegn Minda ◽  
Denekew Addis ◽  
Bakana Chala ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Sliding Mode ◽  
Boost Converter ◽  
Sliding Mode Controller

scholarly journals Trajectory Tracking Control of Intelligent Electric Vehicles Based on the Adaptive Spiral Sliding Mode

2021 ◽  
Vol 11 (24) ◽  
pp. 11739
Author(s):  
Yanxin Nie ◽  
Minglu Zhang ◽  
Xiaojun Zhang
Keyword(s):  
Electric Vehicles ◽  
Trajectory Tracking ◽  
Control Strategy ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Lateral Deviation ◽  
Distribution Method ◽  
Tire Force ◽  
Tracking Model ◽  
Vehicle Trajectory

Aiming at the multi-objective control problem of the tracking effect and vehicle stability in the process of intelligent vehicle trajectory tracking, a coordinated control strategy of the trajectory tracking and stability of intelligent electric vehicles is proposed based on the hierarchical control theory. The vehicle dynamics model and trajectory tracking model are established. In order to tackle the chattering problem in the traditional sliding mode controller, an Adaptive Spiral Sliding Mode controller is designed by taking the derivative of the controller as the upper controller, which is intended to reduce the heading deviation and lateral deviation in the trajectory tracking process whilst ensuring the stability of the vehicle itself. In the lower controller, a four-wheel tire force optimal distribution method is designed. According to the requirements of the upper controller, combined with the yaw stability of the vehicle, the directional control distribution of the four-wheel tire force is realized. A joint simulation model was built based on CarSim and Simulink, and simulation experiments were performed. The results show that the proposed control strategy can effectively control the heading deviation and lateral deviation in the vehicle trajectory tracking while ensuring the lateral stability of the vehicle.

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