Research on Simulation Algorithm of Series Hybrid Electric Vehicle Energy and Intelligent Control
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.
Year of publication: |
2017
|
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Authors: | Gao, Tao |
Published in: |
International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC). - IGI Global, ISSN 1937-9668, ZDB-ID 2695914-8. - Vol. 9.2017, 4 (01.10.), p. 33-77
|
Publisher: |
IGI Global |
Subject: | Control Strategy | Hybrid Electric Bus | NSGA-II Genetic Algorithm | Parameter Matching | Series |
Saved in:
Online Resource
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