Recurrent neural network training for energy management of a mild Hybrid Electric Vehicle with an ultra-capacitor-Reference-Cited by-同舟云学术

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Recurrent neural network training for energy management of a mild Hybrid Electric Vehicle with an ultra-capacitor

Published:2009-03 Issue: Volume: Page:
ISSN:
Container-title:2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems
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Author:

Feldkamp Lee,Abou-Nasr Mahmoud,Kolmanovsky Ilya V.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4911408/4938711/04938720.pdf?arnumber=4938720

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy Management Systems’ Modeling and Optimization in Hybrid Electric Vehicles;Energies;2024-04-02

2. Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement Learning;AI-enabled Technologies for Autonomous and Connected Vehicles;2022-09-08

3. A Review of Optimal Energy Management Strategies Using Machine Learning Techniques for Hybrid Electric Vehicles;International Journal of Automotive Technology;2021-09-26

4. Challenges of micro/mild hybridisation for construction machinery and applicability in UK;Renewable and Sustainable Energy Reviews;2018-08

5. Exploiting Terrain Information for Enhancing Fuel Economy of Cruising Vehicles by Supervised Training of Recurrent Neural Optimizers;Annals of Information Systems;2014-11-14

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