| Summary: | 碩士 === 國立臺北科技大學 === 車輛工程系所 === 100 === The increase of oil price has become a global long-term trend. Major automotive manufactures started to put more resource in the research and development of new energy vehicles. Electric vehicle (EV) has the advantage of zero missions. However, its cruising distance is often limited due the insufficient battery energy density. Range extended electric vehicle (REEV) can extend its cruising distance by using the range extender which consists of engine and generator, i.e. genset. Thus, range extender is considered as a short term alternative solution to solve the current problem of insufficient cruising distance of EV. For a given driving pattern, equivalent fuel consumption minimization will be used to design the proposed adaptive power management control strategy, such that fuel consumption can be effectively reduced for different driving patterns. Driver only needs to provide the approximate estimation of the traveling distance to plan the reference SOC trajectory for discharging the battery. Self-organizing fuzzy controller will be 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 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.
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