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Comparative studies on several direct torque control (DTC) strategies of interior permanent magnet synchronous motor (IPMSM) for electric vehicles (EVs) are discussed in details, namely basic DTC, DTC combined with space vector modulation (DTC-SVM), and deadbeat DTC (DB-DTC). These DTC strategies are reviewed, meanwhile dynamics and steady-state performance are analyzed and compared. Simulations of...
In order to solve the problem that the electric vehicle wheels may lock up when braking or spin out when accelerating on low-friction coefficient [low-μ] roads, this paper presented a nonlinear model predictive controller for slip control of electric vehicle equipped with four in-wheel motors. The advantage of the proposed nonlinear model predictive control based (NMPC) slip controller is that it...
A weight scheduling model predictive controller is proposed for gear shift of an electric vehicle with a 2-speed I-AMT. In the inertia phase, the contradictory control objectives of less friction work and smooth transmission output torque are included in the objective function, which aims to improve shift quality. In order to trade off contradictory requirements, a set of suitable weighting factors...
This paper focuses on realizing the full potential in efficiency of dual-motor electric vehicles by exploring control strategies of driving force split and driving-mode. First, the minimizing power loss is set as the target of optimization and the method of driving force split between the front and rear axles is established. Then an adaptive decision control system is designed by fuzzy logic to realize...
Considering the stochastic nature of electric vehicles (EVs) charging activities, this paper is dedicated to schedule the resident EVs charging load in the smart grid. Three important factors of the EV charging process are taken into account and studied, including the characteristics of EV battery, the start time of EV charging and the initial state-of-charging (SOC) of EV battery. We present a resident...
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