A comparison of various universally applicable power distribution strategies for fuel cell hybrid trains utilizing component modeling at different levels of detail: From simulation to test bench measurement
暂无分享,去创建一个
Kay Hameyer | Stefan Pischinger | Lars Löwenstein | Dirk Uwe Sauer | Andreas Thul | Kai Deng | Hujun Peng | Steffen Dirkes | Cem Ünlübayir | Zhu Chen | D. Sauer | S. Pischinger | K. Hameyer | Zhuo Chen | Steffen Dirkes | A. Thul | Hujun Peng | Kai Deng | Cem Ünlübayir | Lars Löwenstein
[1] Ke Song,et al. Degradation adaptive energy management strategy using fuel cell state-of-health for fuel economy improvement of hybrid electric vehicle , 2021, Applied Energy.
[2] Kay Hameyer,et al. 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 , 2021 .
[3] Gao Haibo,et al. Optimization of sizing and frequency control in battery/supercapacitor hybrid energy storage system for fuel cell ship , 2020 .
[4] Xiaosong Hu,et al. Convex programming improved online power management in a range extended fuel cell electric truck , 2020 .
[5] Yang Zhou,et al. Multi-objective energy management for fuel cell electric vehicles using online-learning enhanced Markov speed predictor , 2020, Energy Conversion and Management.
[6] Kay Hameyer,et al. A scalable, causal, adaptive energy management strategy based on optimal control theory for a fuel cell hybrid railway vehicle , 2020 .
[7] Xuezhe Wei,et al. Deep reinforcement learning-based energy management of hybrid battery systems in electric vehicles , 2021, Journal of Energy Storage.
[8] Marco Sorrentino,et al. Pontryagin’s minimum principle-based real-time energy management strategy for fuel cell hybrid electric vehicle considering both fuel economy and power source durability , 2020 .
[9] Joeri Van Mierlo,et al. Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies , 2020, Renewable and Sustainable Energy Reviews.
[10] Ya-Xiong Wang,et al. Model Predictive Control With Lifetime Constraints Based Energy Management Strategy for Proton Exchange Membrane Fuel Cell Hybrid Power Systems , 2020, IEEE Transactions on Industrial Electronics.
[11] Teng Teng,et al. A comprehensive review of energy management optimization strategies for fuel cell passenger vehicle , 2020 .
[12] Mohammad Reza Azizian,et al. Energy management of fuel cell electric vehicles based on working condition identification of energy storage systems, vehicle driving performance, and dynamic power factor , 2020 .
[13] Yujie Wang,et al. Adaptive energy management strategy for fuel cell/battery hybrid vehicles using Pontryagin's Minimal Principle , 2019, Journal of Power Sources.
[14] Hicham Chaoui,et al. Cost Minimization Strategy for Fuel Cell Hybrid Electric Vehicles Considering Power Sources Degradation , 2020, IEEE Transactions on Vehicular Technology.
[15] Yujie Wang,et al. A comparative study of power allocation strategies used in fuel cell and ultracapacitor hybrid systems , 2019 .
[16] Kay Hameyer,et al. An adaptive PMP-based model predictive energy management strategy for fuel cell hybrid railway vehicles , 2021 .
[17] Kay Hameyer,et al. 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 , 2021 .
[18] Othmane Abdelkhalek,et al. Comparative study of energy management strategies for hybrid proton exchange membrane fuel cell four wheel drive electric vehicle , 2020 .
[19] Mehmet Hakan Demir,et al. A review and research on fuel cell electric vehicles: Topologies, power electronic converters, energy management methods, technical challenges, marketing and future aspects , 2021 .
[20] Yujie Wang,et al. A review of key issues for control and management in battery and ultra-capacitor hybrid energy storage systems , 2020 .
[21] Meng Liu,et al. An optimized energy management strategy for fuel cell hybrid power system based on maximum efficiency range identification , 2020, Journal of Power Sources.
[22] Jeffrey B. Burl,et al. Estimation of the ECMS Equivalent Factor Bounds for Hybrid Electric Vehicles , 2018, IEEE Transactions on Control Systems Technology.
[23] Fazhan Tao,et al. Data-driven reinforcement-learning-based hierarchical energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles , 2020, Journal of Power Sources.
[24] Yang Zhou,et al. Real-time cost-minimization power-allocating strategy via model predictive control for fuel cell hybrid electric vehicles , 2021 .
[25] Kay Hameyer,et al. A scalable, causal, adaptive rule-based energy management for fuel cell hybrid railway vehicles learned from results of dynamic programming , 2020 .
[26] Noureddine Zerhouni,et al. Review on health-conscious energy management strategies for fuel cell hybrid electric vehicles: Degradation models and strategies , 2019, International Journal of Hydrogen Energy.
[27] Chao Chen,et al. Energy management of hybrid electric vehicles: A review of energy optimization of fuel cell hybrid power system based on genetic algorithm , 2020, Energy Conversion and Management.
[28] Yujie Wang,et al. Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine , 2019, Applied Energy.
[29] Hicham Chaoui,et al. An Online Energy Management Strategy for a Fuel Cell/Battery Vehicle Considering the Driving Pattern and Performance Drift Impacts , 2019, IEEE Transactions on Vehicular Technology.