Performance comparison of different models for PHEV energy consumption and driving dynamics prediction.

<p>Performance comparison of different models for PHEV energy consumption and driving dynamics prediction.</p>

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Bibliographic Details
Main Author:	Xuezhao Zhang (22567022) (author)
Other Authors:	Zijie Chen (6258353) (author), Xiaofen Fang (22567025) (author)
Published:	2025
Subjects:	Biotechnology Ecology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified robust generalization capability experimental results demonstrate critical role played perform mode clustering integrated mode information hybrid electric vehicles combining electric efficiency energy management strategies unseen driving conditions first layer employs world energy efficiency vehicle mode prediction world driving scenarios high prediction accuracy 2 </ sup driving behavior analysis div >< p phev energy consumption >< sup energy consumption driving behavior electric power time energy time prediction r </ phev eco layer lstm dynamics prediction driving dynamics diverse driving accuracy rate mode phevs fuel consumption driver behavior world phevs transformer model significantly enhancing series data range anxiety previous research predominantly focused powertrain design multidimensional time modeling eco model ’ model achieves lstm network low emissions large amount increasingly favored
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