Abstract: This paper firstly proposes a rule-based logic threshold energy management strategy developed by manual calibration for a series-parallel hybrid electric vehicle. On the basis of the calibrated logic threshold, the dynamic programming algorithm is then introduced to optimize the vehicle optimal control, and the proposed logic threshold strategy is further optimized according to the optimal strategy data set. Finally, a real vehicle experiment is carried out on a hybrid electric vehicle equipped with an energy management strategy based on optimized logic threshold rules. The experimental results show that the optimized energy management strategy has a good fuel saving effect, and an improvement of 4.7% in fuel saving can be reached, which effectively improves fuel economy and meets the real-time requirements of the vehicle control, providing technical support for the subsequent product development of hybrid electric vehicles.