Optimization Design for a Hybrid Electric Powertrain System with Three-planetary Gear Sets of Tracked Vehicles
Existing hybrid electric powertrain systems with dual-motor coupling frequently undergo secondary energy conversion during operation,which reduces the operational efficiency of the tracked vehicles.To further enhance fuel economy,this study proposes an optimized design scheme for a hybrid electric powertrain system configuration for a three-planetary-gear tracked vehicle.First,the power transmission system of a tracked vehicle with a dual-motor coupling drive structure was used as the reference configuration,and the basis for the operating characteristics of the reference configuration was analyzed.The reference configuration was then split,and the main power-source components and coupling mechanism were retained.After a set of planetary rows were added,the engine and generator were connected to the reference configuration to generate the basic topological structural scheme.Second,an improved adjacency matrix expression method was proposed to accomplish the following:① establish the mathematical relationship between the components under different working modes of the hybrid electric powertrain system of a hybrid tracked vehicle,② complete the generation and search of the configuration,and ③ obtain the optimal alternative configuration.Finally,based on the global optimal control strategy for a dynamic programming algorithm,the optimal economy and dynamic performance of the generated alternative configuration scheme were simulated and analyzed,and the optimal configuration was obtained.Results show that the proposed three-planetary-gear hybrid electric powertrain configuration scheme retains the same steering performance as that of the reference configuration.The 0-60 km·h-1 acceleration time is reduced by 38.33％,and the fuel economy is improved by 3.09％as compared with the reference configuration.These results prove the feasibility of the configuration generation and search method proposed in this study and validates the effectiveness of the optimal configuration scheme.
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