Abstract: High efficiency and compactness are the important trends in the development of power equipment. And the core task is to realize the optimal design of energy and volume for the component cooling system of power plant to overcome the problems of repeated manual iteration and local optimization in the traditional design method. In this paper, an integrated bi-objective optimization design method was proposed based on parametric method for the heat consumption and volume of advanced power vehicle cooling system. Firstly, a model was established to carry out energy transfer, volume mapping and coupling for the each component of the cooling system. Then, taking the NSGA-II heuristic algorithm to quickly obtain the Pareto non-inferior solution set under different heat dissipation and volume trade-off objectives. Finally, it was arranged to reveal the influence of the material flow, energy flow, heat transfer and pressure drop of each component on volume distribution of the system under the condition with corresponding optimal structural and operating parameters. The results show that every arrangement of double-pump double-circulation cooling system, the series, parallel and hybrid, can all take its own adaptation range under different volume and power consumption requirements. Compared with the traditional design method, the proposed method can reduce the volume of power equipment by 6.47 % and reduce the power consumption by 1.67 % under heat dissipation pressure of 600 kW engine working conditions.