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This paper presents a machine learning approach to train an intelligent power controller for a series hybrid electric vehicle. The proposed machine learning approach exploits the best efficiency of the components associated with the roadway type and traffic congestion level to reduce the overall fuel consumption. [Given certain non changeable parameters such as the generator efficiency, the battery...
This paper presents a machine learning approach to the efficient vehicle power management and an intelligent power controller (IPC) that applies the learnt knowledge about the optimal power control parameters specific to specific road types and traffic congestion levels to online vehicle power control. The IPC uses a neural network for online prediction of roadway types and traffic congestion levels...
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