Machine Learning-Based Control for Fuel Cell Hybrid Buses: From Average Load Power Prediction to Energy Management
In this work, a machine learning-based energy management system is developed using a long short-term memory (LSTM) network for fuel cell hybrid buses. The neural network implicitly learns the complex relationship between various factors and the optimal power control from massive data. The selection...
Main Authors: | Hujun Peng, Jianxiang Li, Kai Deng, Kay Hameyer |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
|
Series: | Vehicles |
Subjects: | |
Online Access: | https://www.mdpi.com/2624-8921/4/4/72 |
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