Multi-mode predictive energy management for fuel cell hybrid electric vehicles using Markov driving pattern recognizer-Reference-Cited by-同舟云学术

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Multi-mode predictive energy management for fuel cell hybrid electric vehicles using Markov driving pattern recognizer

Published:2020-01 Issue: Volume:258 Page:114057
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Zhou Yang,Ravey Alexandre,Péra Marie-Cecile

Funder

China Scholarship Council

Publisher

Elsevier BV

Subject

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

Reference37 articles.

1. Total cost of ownership and market share for hybrid and electric vehicles in the UK, US and Japan;Palmer;Appl Energy,2018

2. A survey on driving prediction techniques for predictive energy management of plug-in hybrid electric vehicles;Zhou;J Power Sources,2019

3. Well-to-wheels energy consumption and emissions of electric vehicles: Mid-term implications from real-world features and air pollution control progress;Ke;Appl Energy,2017

4. Data-driven proton exchange membrane fuel cell degradation predication through deep learning method;Ma;Appl Energy,2018

5. Optimization of energy management system for fuel-cell hybrid electric vehicles: issues and recommendations;Sulaiman;Appl Energy,2018

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4. Ensembled Traffic-Aware Transformer-Based Predictive Energy Management for Electrified Vehicles;IEEE Transactions on Intelligent Transportation Systems;2024-09

5. Health management review for fuel cells: Focus on action phase;Renewable and Sustainable Energy Reviews;2024-09

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