Abstract: In order to improve fuel economy and durability of hybrid fuel cell electric vehicle, a parameter identification algorithm and an optimization method for vehicle control strategy are developed. Parameters of hydrogen consumption and battery model are identified on the basis of least square method. The vehicle control strategy includes two parts, the motor control and energy management strategies. According to shift and pedal signals, motor operation can be classified into brake and non-brake modes. Motor target torque is calculated differently in the two modes. There are two blocks in energy management strategy, the stable distribution and dynamic compensation algorithms. All the parameters in the vehicle control strategy are optimized using a multi-target genetic optimization algorithm so that the equivalent hydrogen consumption in "China city bus typical cycle" is minimized. Experiment results show that, the fuel economy is improved from 9.6 kg/100km to 7.6 kg/100km, power fluctuation of fuel cell stack is decreased and battery SOC is kept nearby the balance point.

Key words: Energy management, Hybrid fuel cell powertrain, Least square identification, Multi-target genetic optimization algorithm, Vehicle control