October 01, 2019 conference-paper An Efficient Optimum Energy Management Strategy Using Parallel Dynamic Programming for a Hybrid Train Powered by Fuel-Cells and Batteries IEEE Vehicle Power and Propulsion Conference (VPPC) DOI: 10.1109/vppc46532.2019.8952323 OpenAlex Authors 0 Author list not loaded yet. Cited by 11 stored of 24 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Machine Learning-Based Control for Fuel Cell Hybrid Buses: From Average Load Power Prediction to Energy Management 2022 Vehicles article Engineering Electric and Hybrid Vehicle Technologies Open access 12 citations Unlocking electrochemical model-based online power prediction for lithium-ion batteries via Gaussian process regression 2021 Applied Energy article Engineering Advanced Battery Technologies Research cited by 2 patents 76 citations One-shot battery degradation trajectory prediction with deep learning 2021 Journal of Power Sources article Engineering Advanced Battery Technologies Research Open access cited by 2 patents 234 citations Cloud-based health-conscious energy management of hybrid battery systems in electric vehicles with deep reinforcement learning 2021 Applied Energy article Engineering Electric and Hybrid Vehicle Technologies Open access 108 citations Estimation of Potentials in Lithium-Ion Batteries Using Machine Learning Models 2021 IEEE Transactions on Control Systems Technology article Engineering Advanced Battery Technologies Research 41 citations Deep reinforcement learning-based energy management of hybrid battery systems in electric vehicles 2021 Journal of Energy Storage article Engineering Electric and Hybrid Vehicle Technologies 194 citations Validation of robustness and fuel efficiency of a universal model-based energy management strategy for fuel cell hybrid trains: From analytical derivation via simulation to measurement on test bench 2020 Energy Conversion and Management article Engineering Electric and Hybrid Vehicle Technologies 21 citations An adaptive PMP-based model predictive energy management strategy for fuel cell hybrid railway vehicles 2020 eTransportation article Engineering Electric and Hybrid Vehicle Technologies 87 citations Offline optimal energy management strategies considering high dynamics in batteries and constraints on fuel cell system power rate: From analytical derivation to validation on test bench 2020 Applied Energy article Engineering Electric and Hybrid Vehicle Technologies 45 citations A scalable, causal, adaptive energy management strategy based on optimal control theory for a fuel cell hybrid railway vehicle 2020 Applied Energy article Engineering Electric and Hybrid Vehicle Technologies 67 citations A scalable, causal, adaptive rule-based energy management for fuel cell hybrid railway vehicles learned from results of dynamic programming 2020 eTransportation article Engineering Electric and Hybrid Vehicle Technologies 85 citations 11 results References 0