Study on Powertrain Matching Based on Driving Cycle for Hybrid Electric Vehicle
Junnian Wang, Hong Wen He, Heng Tang, Hong Zhou Qin, Jian Kun Peng
Abstract
Junnian Wang, Hong Wen He, Heng Tang, Hong Zhou Qin, Jian Kun Peng
Abstract
The performance of fuel economy and emissions reduction of hybrid electric vehicles (HEVs) strongly depends on the powertrains’ matching and its energy control strategy. The theoretic matching method only based on the theoretical equation of kinetic equilibrium, which is a traditional method, could not take fully use of the advantages of HEV under a certain driving cycle because it doesn’t consider the target driving cycle. In order to match the hybrid powertrain that operates more efficiently under the target driving cycle, the matching method based on driving cycle is presented. The powertrain of a hybrid electric bus is matched, modeled and simulated on the CRUISE, a forwards simulation platform from AVL. The simulation results show that the matching method based on driving cycle presented in this paper could not only meet the requirements of the power performance, but also operate efficiently under the target driving cycle.
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The performance of fuel economy and emissions reduction of hybrid electric vehicles (HEVs) strongly depends on the powertrains’ matching and its energy control strategy. The theoretic matching method only based on the theoretical equation of kinetic equilibrium, which is a traditional method, could not take fully use of the advantages of HEV under a certain driving cycle because it doesn’t consider the target driving cycle. In order to match the hybrid powertrain that operates more efficiently under the target driving cycle, the matching method based on driving cycle is presented. The powertrain of a hybrid electric bus is matched, modeled and simulated on the CRUISE, a forwards simulation platform from AVL. The simulation results show that the matching method based on driving cycle presented in this paper could not only meet the requirements of the power performance, but also operate efficiently under the target driving cycle.
Key concepts: Powertrain, Driving cycle, Automotive engineering, Matching (statistics), Electric vehicle, Engineering, Power (physics), Computer science