Adaptive Controller Design for Anti-Slip System of EV

Ratiroch-Anant, P.; Hirata, Hiroshi; Anabuki, Masatoshi; Ouchi, Shigeto

doi:10.1109/ramech.2006.252633

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…13 An antilock braking system (ABS) incorporating active suspension control has been proposed, 14 and an optimal slip ratio controller based on the LQ method has also been revealed. 15 Slip ratio control based upon state feedback for ABS is described by Yi et al 16 In the last decade, rigorous research on the assessment of the road surface condition has been carried out. With the use of slip measurements, the road surface conditions can be determined.…”

Section: Introductionmentioning

confidence: 99%

Design of slip-based traction control system for EV and validation using co-simulation between Adams and Matlab/Simulink

Saha

Amrr

2020

SIMULATION

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This paper focuses on controlling traction for a four-wheel electric vehicle by using the longitudinal slip ratio control technique. By keeping the slip ratio value inside an optimal limit, it can be ensured that the maximum driving force is obtainable by increasing the friction force between tire and road. The usefulness of the sliding mode control method is to provide robust performance from the parameter uncertainties at different road conditions. A control law is formulated based upon the Lyapunov stability approach to assure the sliding action. To satisfy the robustness, a vehicle model is made in Matlab, and it is simulated based on various parameter values. The slip ratios at different parameter values are plotted for open loop and closed loop. Then considering the vehicle kinematics and dynamics, a 3D CAD model using Catia is developed. Then exporting the model to Adams to use it as a plant model for the vehicle, co-simulation has been achieved by keeping the slip-based traction controller in Matlab/Simulink. Matlab/Simulink and Adams/View simulation validate the proposed method.

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Section: Introductionmentioning

confidence: 99%

Design of slip-based traction control system for EV and validation using co-simulation between Adams and Matlab/Simulink

Saha

Amrr

2020

SIMULATION

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“…Although the vehicle mass, M can also be estimated online [18]- [21], in this paper, it is assumed to be a constant. Fig.…”

Section: Introductionmentioning

confidence: 99%

A new MTTE methodology for electric vehicle traction control

Yin

Hori

et al. 2009

2009 International Conference on Electrical Machines and Systems

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A new traction control which utilizes the maximum transmissible torque estimation (MTTE) scheme to execute the anti-slip control of electric vehicles is proposed in this study. Since the function of embedded knowledge mechanism, the chassis velocity and information about tire-road conditions is unnecessary. A closed-loop observer with disturbance estimation performance is employed to enhance the steering stability of MTTE approach. The proposed scheme which contains the closedloop friction torque estimator is not required to fulfill any differentiator. Moreover, the inversion of the controlled plant is also unnecessary. Evaluation examples are given to illustrate the performance and feasibility of the presented anti-slip strategy.

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