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Abstract: To fully take advantage of external charging conditions and reduce fuel consumption for extended-range electric vehicles, a charging management-based intelligent control strategy is proposed. The intelligent control strategy is applied to different driving patterns based on the various characteristics of urban roads. When the vehicle is driving on arterial roads, a constant power control strategy is applied. When the driver decides to go to a charging station, the extender-off time can be determined based on the current state of the vehicle and the distance to the charging station. When the vehicle is driving on an expressway, a power follower control strategy is applied. The range-extender engine is controlled to work over a wide variety of regions to obtain optimum fuel economy. The simulation results indicate that as the vehicle arrives at the charging station, the proposed charging management-based intelligent control strategy has made the state of charge reach the lowest permissible level after the driver made the decision to charge at the charging station. Therefore, the driver can charge the vehicle with as much clean electric energy as possible from the charging station.

The manuscript presents an intelligent control strategy for battery management in an electric-powered vehicle. The intelligent control method was developed based on the identification of the current status of the battery running condition and the estimation of the electricity needed to the charging station, so that determine the optimal closing time of the extender. The novelty of the paper lies on determination of the optimal closing time so that the maximal clear electrical energy can be charged in the charging station. Computer simulation has been undertaken to validate the proposed strategy. The simulation results proved the effectiveness of the proposed method.

增程式电动汽车智能充电管理控制策略研究

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