Prediction of vehicle driving conditions with incorporation of stochastic forecasting and machine learning and a case study in energy management of plug-in hybrid electric vehicles-Reference-Cited by-同舟云学术

Prediction of vehicle driving conditions with incorporation of stochastic forecasting and machine learning and a case study in energy management of plug-in hybrid electric vehicles

Published:2021-09 Issue: Volume:158 Page:107765
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Liu Yonggang,Li Jie,Gao Jun,Lei Zhenzhen,Zhang Yuanjian,Chen Zheng

Funder

EU Framework Programme for Research and Innovation Marie Sklodowska-Curie Actions

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference40 articles.

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2. Research on a multi-objective hierarchical prediction energy management strategy for range extended fuel cell vehicles;Liu;J. Power Sources,2019

3. Battery and ultracapacitor in-the-loop approach to validate a real-time power management method for an all-climate electric vehicle;Xiong;Appl. Energy,2018

4. A real-time blended energy management strategy of plug-in hybrid electric vehicles considering driving conditions;Lei;J. Cleaner Prod.,2020

5. Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming;Chen;J. Power Sources,2014

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