Abstract: In this paper, a multi-objective optimization energy management strategy for a parallel hybrid electric vehicle is established to balance fuel economy and battery temperature rise effect. A vehicle dynamics model and a battery temperature rise model are also established. A multi-objective parameter optimization based on Pareto optimal solutions is built by selecting the control parameters of power components and several battery related parameters. Considering the temperature accumulation effect under high rate currents, the upper limit control strategy of a motor torque based on temperature rise feedback is developed, so that the current amplitude is actively controlled to realize battery temperature control. The analysis results indicate that frontier Pareto solutions obtained by multi-objective optimization have a good balance between both fuel economy and battery temperature rise response. The motor torque threshold control strategy effectively adjusts current amplitude under high speed conditions, thus achieving the limit of battery heat accumulation.