Real-time energy management strategy (EMS) plays an important role in reducing fuel consumption and maintaining power for the hybrid electric vehicle. However, real-time optimization control is difficult to implement due to the computational load in an instantaneous moment. In this paper, an Approximate equivalent consumption minimization strategy (Approximate-ECMS) is presented for real-time optimization control based on single-shaft parallel hybrid powertrain. The quadratic fitting of the engine fuel consumption rate and the single-axle structure characteristics of the vehicle make the fitness function transformed into a cubic function based on ECMS for solving. The candidate solutions are thus obtained to distribute torque and the optimal distribution is got from the candidate solutions. The results show that the equivalent fuel consumption of Approximate-ECMS was 7.135 L/km by 17.55% improvement compared with Rule-ECMS in the New European Driving Cycle (NEDC). To compensate for the effect of the equivalence factor on fuel consumption, a hybrid dynamic particle swarm optimization-genetic algorithm (DPSO-GA) is used for the optimization of the equivalence factor by 9.9% improvement. The major contribution lies in that the Approximate-ECMS can reduce the computational load for real-time control and prove its effectiveness by comparing different strategies.
Abstract:This paper put forward electronic differential control method of electric vehicle based on relatively slip rate and designs linear quadratic type of optimal sliding mode controller based on optimal control and sliding-mode control, which aims at in-wheel motor drive electric vehicle existing problem that relative slip rate of driving wheel is maximum interfered by the external world in the curve. Adopting front wheel steering rear-wheel drive of in-wheel motor drive electric vehicle as a subject for study, which aims at handing stability characteristics of electronic differential control of electric vehicle and structuring including three degree-of-freedom complete vehicle stimulation model of electric vehicle longitudinal motion, lateral motion and transverse motion.Through linear model, the driving relative slip ratio of the electric vehicle is taken as the feedback control quantity. It consequently controls relative slip rate of driving wheel through controlling torque coordinating percentage of car to control drive wheel's output torque. The simulation results show that the controlling method realizes the vehicle's minimum relative slip rate of driving wheel in the course of turning and enhances immunity from interference of electronic differential system. It effectively enhances the robust stability of system and improves roadability of vehicle.
Key words:relative
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