REVIEW ARTICLE
Operation Mode Analysis, Parameter Matching and Control Strategy Research for a Novel Range-Extended Electric Vehicle
Jianjun Hu*, Guoqiang Zu, Ming Xie, Jia Chen
State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, 400044, China
Article Information
Identifiers and Pagination:
Year: 2014Volume: 8
First Page: 809
Last Page: 819
Publisher Id: TOMEJ-8-809
DOI: 10.2174/1874155X01408010809
Article History:
Received Date: 08/01/2015Revision Received Date: 15/01/2015
Acceptance Date: 16/01/2015
Electronic publication date: 31/12/2014
Collection year: 2014
© 2014 Hu et al
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
In order to improve the dynamic performance and endurance mileage of vehicle, operation mode and parameter matching were analyzed and designed on a novel power transmission scheme of range-extended electric vehicle (R-EEV), and the following control strategy of the engine optimization curve was proposed. The simulation was carried out on the Matlab/Simulink software platform and the results showed that the matching parameters and the control strategy of engine were both reasonable, the dynamic performance improved and the vehicle could be operated efficiently.
Keywords: Control strategy, Operation mode, Parameter matching, Range-extended electric vehicle.