Adaptive energy management of a plug-in hybrid electric vehicle based on driving pattern recognition and dynamic programming-Reference-Cited by-同舟云学术

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Adaptive energy management of a plug-in hybrid electric vehicle based on driving pattern recognition and dynamic programming

Published:2015-10 Issue: Volume:155 Page:68-78
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Zhang Shuo,Xiong Rui

Funder

Beijing Institute of Technology Research Fund Program for Young Scholars

Excellent young scholars Research Fund of Beijing Institute of Technology

National Science & Technology Pillar Program

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference36 articles.

1. Total cost of ownership, payback, and consumer preference modeling of plug-in hybrid electric vehicles;Al-Alawi;Appl Energy,2013

2. A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion polymer battery in electric vehicles;Xiong;Appl Energy,2014

3. Approximate Pontryagin’s minimum principle applied to the energy management of plug-in hybrid electric vehicles;Hou;Appl Energy,2014

4. Topological overview of hybrid electric and fuel cell vehicular power system architectures and configurations;Emadi;IEEE T Veh Technol,2005

5. Energy storage systems for automotive applications;Lukic;IEEE Trans Ind Electron,2008

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