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Adaptive Energy Management Strategy For Battery-Fuel Cell Hybrid Electric Vehicle With XGBoost-Based Excess and Deficit Power Mode Classification by 2200069036eee is a document available to read on EtoBox.
This document presents an adaptive energy management strategy for battery-fuel cell hybrid electric vehicles (HEVs) utilizing a fuzzy logic controller and machine learning techniques, specifically XGBoost, to optimize power distribution based on real-time demand conditions. The proposed system improves energy efficiency and component lifespan by dynamically managing the power flow between the fuel cell and battery, addressing the limitations of traditional control strategies. The integration of machine lear
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- 2200069036eee
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- EN