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The cruising distance of the range extended electric vehicle (REEV) can be further extended using a range extender, which consists of an engine and a generator, i.e., a genset. An adaptive power management strategy (PMS) based on the equivalent fuel consumption minimization strategy (ECMS) is proposed for the REEV in this paper. The desired trajectory of the state of charge (SOC) is designed based on the energy-to-distance ratio, which is defined as the difference between the initial SOC and the minimum allowable SOC divided by the remaining travel distance, for discharging the battery. A self-organizing fuzzy controller (SOFC) with SOC feedback is utilized to modify the equivalence factor, which is defined as the fuel consumption rate per unit of electric power, for tracking the desired SOC trajectory. An instantaneous cost function, that consists of the fuel consumption rate of the genset and the equivalent fuel consumption rate of the battery, is minimized to find the optimum power distribution for the genset and the battery. Dynamic programming, which is a global minimization method, is employed to obtain the performance upper bound for the target REEV. Simulation results show that the proposed algorithm is adaptive for different driving cycles and can effectively increase the fuel economy of the thermostat control strategy (TCS) by 11.1% to 16%. The proposed algorithm can also reduce average charging/discharging powers and low SOC operations for possibly extending the battery life and increasing the battery efficiency, respectively. An experiment of the prototype REEV on a chassis dynamometer is set up with the proposed algorithm implemented on a real-time controller. Experiment results show that the proposed algorithm can increase the fuel economy of the TCS by 7.8% for the tested driving cycle. In addition, the proposed algorithm can reduce the average charge/discharge powers of TCS by 7.9% and 11.7%, respectively.

The increase of oil price has become a global long term trend. Major automotive manufactures started to put more resources in the research and development of new energy vehicles. Hybrid Electric Vehicle (HEV) which consists of internal combustion engine and electric machine can overcome the disadvantages of these components using power management control strategy, such that the engine can be operated in the highly efficient region. Thus enhance the efficiency of energy usage and increase the cruising distance of the vehicle. The automotive industries in Taiwan are currently developing the HEV equipped withBelt-driven Starter Generator (BSG). The power management control strategy will be developed for BSG-HEV in this paper. Equivalent fuel consumption minimization is used to design the proposed adaptive power management control strategy, such that fuel consumption can be effectively reduced for different driving patterns. Self-organizing fuzzy controller is used to adaptively adjust the equivalence factor which is used to convert the electric power usage to equivalent fuel consumption. A cost function of instantaneous fuel consumption is minimized to obtain the optimum power split between the BSG and engine.Keywords-belt-driven starter and generator; hybrid electric vehicle; equivalent fuel consumption minimization; equivalence factor; adaptive power management control.

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Range extended electric vehicle can extend the cruising distance of the electric vehicle by using the range extender which consists of engine and generator, i.e. genset, without using a larger and more expensive battery pack. Equivalent fuel consumption minimization is used to design the proposed adaptive power management control strategy, such that fuel consumption is effectively reduced lower than that of the thermostat control strategy. Driver only needs to provide the approximate estimation of the traveling distance to plan the reference trajectory of SOC for discharging the battery. In order to track the reference, self-organizing fuzzy controller adaptively adjusts the equivalence factor which is used to convert the electric power usage to equivalent fuel consumption. A cost function of instantaneous fuel consumption is minimized to obtain the optimum power split between the genset and battery. Simulation results show that the proposed algorithm can improve the fuel economy and reduce the average charging/discharging power of the battery.