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Predictive Machine Learning-Based Power Sharing Strategy for Battery Supercapacitor Hybrid Energy Storage Systems in Hybrid Electric Vehicles

https://doi.org/10.2139/ssrn.7493464
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Energy Management of Battery–Supercapacitor Hybrid Storage in Electric Vehicles With Solar Integration: A Review
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Deep Reinforcement Learning-Driven Robust Adaptive Control for Hybrid Energy Storage in SynRM-Based Light Electric Vehicle Drives
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Conditioned Adaptive Barrier Function Based Integral Super-Twisting Sliding Mode Control for Electric Vehicles With Hybrid Energy Storage System
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inferredcites →https://doi.org/10.1109/tpel.2020.3030822openalex-snapshot
Dimensioning and Power Management of Hybrid Energy Storage Systems for Electric Vehicles With Multiple Optimization Criteria
inferredcites →https://doi.org/10.1109/tte.2023.3283668openalex-snapshot
The Impact Analysis of Operational Overvoltage on Traction Transformers for High-Speed Trains Based on the Improved Capacitor Network Methodology
inferredcites →https://doi.org/10.1109/tte.2024.3450731openalex-snapshot
Safe Reinforcement Learning for Power Allocation of Hybrid Energy Storage Systems in Electric Vehicles Using PPO and Predictive Safety Filter
inferredcites →https://doi.org/10.1109/tvt.2011.2166981openalex-snapshot
A Novel ECMS and Combined Cost Map Approach for High-Efficiency Series Hybrid Electric Vehicles
inferredcites →https://doi.org/10.1109/tvt.2017.2725307openalex-snapshot
Real-Time Nonlinear Model Predictive Control of a Battery–Supercapacitor Hybrid Energy Storage System in Electric Vehicles
inferredcites →https://doi.org/10.3390/batteries11070264openalex-snapshot
Integrated Machine Learning Framework Combining Electrical Cycling and Material Features for Supercapacitor Health Forecasting
inferredcites →https://doi.org/10.3390/machines14010073openalex-snapshot
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