Parameter Optimization of Hybrid Electric Vehicle Based on Multi-condition Optimization Algorithm
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Coordinating and optimizing the parameters of hybrid electric vehicle (HEV) powertrain and energy control strategies is the key to improving fuel economy. The HEV drive system parameters have a significant impact on the vehicle's power, fuel economy and emissions performance. For HEV, the reasonable matching of the drive system parameters will directly determine whether the HEV can meet the energy conservation and environmental protection requirements. After determining the design goals and design of the hybrid vehicle, it is necessary to determine the selection of each component and its parameters. In order to achieve the best fuel economy under the condition of satisfying the vehicle dynamic constraints. Hybrid electric vehicle (HEV) is the most feasible product which combines new technology with old technology. It has the advantages of both pure electric vehicle and traditional internal combustion engine vehicle. Based on the multi-condition optimization algorithm, this paper proposes an optimization strategy for the parameters of the power system calculated according to the theoretical knowledge of the vehicle.
Hybrid Electric Vehicle, Multi-condition Optimization Algorithms, Optimizing Strategies