an intelligent control strategy in a parallel hybrid vehicle

this paper presents a design procedure for an adaptive power management control strategy based on a driving cycle recognition algorithm. the design goal of the control strategy is to minimize fuel consumption and engine-out nox, hc and co emissions on a set of diversified driving schedules. seven facility-specific drive cycles are considered to represent different driving scenarios. for each facility-specific drive cycle, the fuel economy and emission are optimized and obtained proper split between the two energy sources (engine and electric motor). a driving pattern recognition algorithm is subsequently developed and used to classify the current driving cycle into one of the facility-specific drive cycles; thus, the most appropriate control algorithm is adaptively selected. this control scheme was tested on a typical driving cycle and was found to operate satisfactorily.