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Research on Simulation Algorithm of Series Hybrid Electric Vehicle Energy and Intelligent Control

Research on Simulation Algorithm of Series Hybrid Electric Vehicle Energy and Intelligent Control

Tao Gao
Copyright: © 2017 |Volume: 9 |Issue: 4 |Pages: 45
ISSN: 1937-965X|EISSN: 1937-9668|EISBN13: 9781522512103|DOI: 10.4018/IJAPUC.2017100103
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MLA

Gao, Tao. "Research on Simulation Algorithm of Series Hybrid Electric Vehicle Energy and Intelligent Control." IJAPUC vol.9, no.4 2017: pp.33-77. http://doi.org/10.4018/IJAPUC.2017100103

APA

Gao, T. (2017). Research on Simulation Algorithm of Series Hybrid Electric Vehicle Energy and Intelligent Control. International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 9(4), 33-77. http://doi.org/10.4018/IJAPUC.2017100103

Chicago

Gao, Tao. "Research on Simulation Algorithm of Series Hybrid Electric Vehicle Energy and Intelligent Control," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) 9, no.4: 33-77. http://doi.org/10.4018/IJAPUC.2017100103

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Abstract

Hybrid electric vehicle (HEV) is a kind of new cars with low fuel consumption and low emissions, which combines the advantages of traditional vehicle's long endurance and no-pollution of pure electric vehicles. It represents the future direction of development of vehicle for a period of time. Therefore, the research of HEV technology has important practical significance to the development of China's automobile. This paper takes Shijiazhuang bus as the research object, makes parameter matching according to the parameters of the vehicle, builds the vehicle model using Cruise software, set the simulation task, and studies the control strategy to reduce automobile fuel and pollutant emission targets. The research of this paper has certain directive significance to the modeling and energy optimization of hybrid electric vehicle.

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