4.4 Article

Comprehensive chassis control strategy of FWIC-EV based on sliding mode control

期刊

IET INTELLIGENT TRANSPORT SYSTEMS
卷 13, 期 4, 页码 703-713

出版社

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-its.2018.5089

关键词

energy conservation; electric vehicles; vehicle dynamics; regenerative braking; wheels; fuzzy logic; variable structure systems; brakes; steering systems; torque control; tyres; energy consumption; fuzzy control; road vehicles; acceleration control; Matlab; hierarchical systems; position control; energy recovery; motor efficiency map; tyre sideslip; insufficient motor braking torque; blended brake control strategy; motor brake; electric hydraulic brake; comprehensive chassis control strategy; FWIC-EV; four-wheel independent control electric vehicle; energy savings; comprehensive control strategy; high-level controller; low-level controller; energy-efficiency optimisation allocation; energy consumption reduction; braking control; driving control; sliding mode control; steering control; antiskid brake system control; motor power loss reduction; steering angle allocation; motor braking torque; yaw moment; lateral force; deceleration; CarSim-MATLAB-Simulink-AMEsim cosimulation; vehicle manoeuvrability; driving performance; fuzzy logic method; hierarchical architecture

资金

  1. National Natural Science Foundation of China [51505178]
  2. China Postdoctoral Science Foundation [2014M561289]

向作者/读者索取更多资源

Four-wheel independent control electric vehicle has possessed tremendous potentials because the enhancement of driving performance and energy savings can be simultaneously carried out by independent and precise driving/braking/steering control. The study has proposed a comprehensive control strategy aiming at all normal conditions, which employs hierarchical architecture to reach the above-mentioned control. In the high-level controller, sliding mode control scheme is developed to figure out total force and yaw moment. In the low-level controller, energy-efficiency optimisation allocation is presented to reduce motor power losses and obtain energy recovery based on motor efficiency map, and then steering angle allocation is conducted to decrease the lateral force so as to reduce power losses caused by the tyre sideslip. Considering insufficient motor braking torque during large deceleration or even larger, the blended brake control strategy with the motor brake and electric hydraulic brake and further anti-skid brake system control via adopting fuzzy logic method are carried out. The torque and pressure are gained to deliver the corresponding actuators model established according to their physical characteristics. Through CarSim-MATLAB/Simulink-AMEsim co-simulation, results suggest that the developed strategy can boost the vehicle manoeuvrability and reduce energy consumption generated by motors and tyre sideslip under all the conventional occasions.

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