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2005•Acta Simulata Systematica SinicaRequires access

Simulation of Control Strategy for Hybrid Electric Vehicle

Dequan Jin, Saic Chery

Open publisher page 1 citations

Abstract

Considering the batteries charge-discharge balance and the engine fuel efficiency under the given driving cycle, it is presented the control strategy using fuzzy logic. The model of control strategy is based on ADVISOR2002 and is simulated under several driving cycles and different control strategies. The results have proven that the fuzzy logic control has the well robustness. This strategy can distribute the torque between the engine and motor reasonably and can keep the balance of battery SOC.

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What this paper is about

Considering the batteries charge-discharge balance and the engine fuel efficiency under the given driving cycle, it is presented the control strategy using fuzzy logic. The model of control strategy is based on ADVISOR2002 and is simulated under several driving cycles and different control strategies. The results have proven that the fuzzy logic control has the well robustness. This strategy can distribute the torque between the engine and motor reasonably and can keep the balance of battery SOC.

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Available abstract

Considering the batteries charge-discharge balance and the engine fuel efficiency under the given driving cycle, it is presented the control strategy using fuzzy logic. The model of control strategy is based on ADVISOR2002 and is simulated under several driving cycles and different control strategies. The results have proven that the fuzzy logic control has the well robustness. This strategy can distribute the torque between the engine and motor reasonably and can keep the balance of battery SOC.

Key concepts: Robustness (evolution), Fuzzy logic, Driving cycle, Torque, Automotive engineering, Electric vehicle, Fuzzy control system, Engineering

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