Modeling and simulation of electronic differential system for an electric vehicle with two-motor-wheel drive

Zhao, Yong; Zhang, J. W.; Guan, Xin

doi:10.1109/ivs.2009.5164454

Cited by 43 publications

(12 citation statements)

References 11 publications

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“…The efficiency and validity of the proposed control method are evaluated in Matlab/Simulink environment. The simulation results show that the new EDS control system can maintain the slip ratio in the optimum range, thus ensuring the vehicle has a smooth or curved lane stability [12]. Fuzzy logic controller provides good performance at closed-loop feedback control systems [13].…”

Section: Introductionmentioning

confidence: 95%

Embedded System Design and Implementation of an Intelligent Electronic Differential System for Electric Vehicles

Uysal¹,

Soylu²

2017

ijacsa

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Abstract-This paper presents an experimental study of the electronic differential system with four-wheel, dual-rear in wheel motor independently driven an electric vehicle. It is worth bearing in mind that the electronic differential is a new technology used in electric vehicle technology and provides better balancing in curved paths. In addition, it is more lightweight than the mechanical differential and can be controlled by a single controller. In this study, intelligently supervised electronic differential design and control is carried out for electric vehicles. Embedded system is used to provide motor control with a fuzzy logic controller. High accuracy is obtained from experimental study.

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Section: Introductionmentioning

confidence: 95%

Embedded System Design and Implementation of an Intelligent Electronic Differential System for Electric Vehicles

Uysal¹,

Soylu²

2017

ijacsa

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“…In addition, the motor can be controlled individually, which shows certain flexibility regarding the system implementations. Through the given torque difference to each wheel, the electronic differential system (EDS) facilitates different steering behaviors [3][4][5]. Basically, EDS is the fundamental system of autonomous emergency braking.…”

Section: Background and Motivationmentioning

confidence: 99%

A New Control Strategy for an Electronic Differential System for Urban Electric Vehicles

Chang

Chen

et al. 2018

Inventions

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This paper presents a control strategy that is applied in turning control for decentralized electric vehicles known as the electronic differential system. The conventional mechanical differential has drawbacks, such as bulkiness and slow response. The electric system response is not only ten times faster than its mechanical counterpart, but its accurate control even reduces the loss of power from the motor to the wheel. Through the turning radius from the steering angle command that the driver gives, the controller can distribute torque to each wheel. After controlling each wheel's rotation, the vehicle can turn in neutral steering. The results show that this strategy can be effectively employed on urban roads.

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“…The reference wheel speed is calculated based on the Ackerman geometry for steering. As described in [9] and [10], it can be stated the reference velocity for the slave wheels that it is intended to achieve with the torque increase/decrease.…”

Section: A Electronic Differentialmentioning

confidence: 99%

Control Algorithm Development for Independent Wheel Torque Distribution with 4 In-wheel Electric Motors

Gutiérrez

Romo

́lez

et al. 2011

2011 UKSim 5th European Symposium on Computer Modeling and Simulation

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Electronic Stability Control (ESC) devices are going to become mandatory in the near future. Moreover, the high price of the electronic sensors makes engineers to build its active safety systems based on the knowledge of a reduced number of real vehicle states, while the rest must be estimated from the real ones. In this case, the new possibilities offered by an independently controlled wheel traction system are explored. The advantages enable to easily implement anti-lock braking and traction control systems, chassis motion control like Direct Yaw Control (DYC) and an estimation of road surface condition. Hence, yaw moment reference signal is possible to be followed not only by braking, but also by giving an increasing torque to wheels in order not to lose any global vehicle velocity. Fault-tolerant strategies are also covered for the dynamic behaviour to be appropriately adapted to an electrical fault. An electronic differential strategy is implemented in both axles in order to develop an active help to curve performance.

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Modeling and simulation of electronic differential system for an electric vehicle with two-motor-wheel drive

Cited by 43 publications

References 11 publications

Embedded System Design and Implementation of an Intelligent Electronic Differential System for Electric Vehicles

Embedded System Design and Implementation of an Intelligent Electronic Differential System for Electric Vehicles

A New Control Strategy for an Electronic Differential System for Urban Electric Vehicles

Control Algorithm Development for Independent Wheel Torque Distribution with 4 In-wheel Electric Motors

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