Control Strategy for Battery/Flywheel Hybrid Energy Storage in Electric Shipboard Microgrids
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Jing Sun | Heath Hofmann | Ziyou Song | Jun Hou | H. Hofmann | Jing Sun | Ziyou Song | Jun Hou
[1] Fengchun Sun,et al. A novel dual-scale cell state-of-charge estimation approach for series-connected battery pack used in electric vehicles , 2015 .
[2] David Q. Mayne,et al. Generalized Stabilizing Conditions for Model Predictive Control , 2016, J. Optim. Theory Appl..
[3] Jihong Wang,et al. Overview of current development in electrical energy storage technologies and the application potential in power system operation , 2015 .
[4] Asgeir J. Sørensen,et al. Antispin Thruster Control for Ships , 2009, IEEE Transactions on Control Systems Technology.
[5] Yi Zhang,et al. Tube-Based Discrete Controller Design for Vehicle Platoons Subject to Disturbances and Saturation Constraints , 2020, IEEE Transactions on Control Systems Technology.
[6] Yu Zheng,et al. Multiagent-Based Cooperative Control Framework for Microgrids’ Energy Imbalance , 2017, IEEE Transactions on Industrial Informatics.
[7] Jianzhong Wu,et al. Benefits of using virtual energy storage system for power system frequency response , 2017 .
[8] Zonghai Chen,et al. Multi-timescale power and energy assessment of lithium-ion battery and supercapacitor hybrid system using extended Kalman filter , 2018, Journal of Power Sources.
[9] Lin Yang,et al. Online identification of lithium-ion battery parameters based on an improved equivalent-circuit model and its implementation on battery state-of-power prediction , 2015 .
[10] Michael Pecht,et al. A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors , 2018, Journal of Power Sources.
[11] Malcolm D. McCulloch,et al. A comparison of high-speed flywheels, batteries, and ultracapacitors on the bases of cost and fuel e , 2011 .
[12] Rui Xiong,et al. A double-scale and adaptive particle filter-based online parameter and state of charge estimation method for lithium-ion batteries , 2018 .
[13] Josep M. Guerrero,et al. A Flexible Power Control Strategy for Hybrid AC/DC Zones of Shipboard Power System With Distributed Energy Storages , 2018, IEEE Transactions on Industrial Informatics.
[14] Furong Gao,et al. A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging , 2019, Energy Conversion and Management.
[15] Jae-Do Park,et al. Control of High-Speed Solid-Rotor Synchronous Reluctance Motor/Generator for Flywheel-Based Uninterruptible Power Supplies , 2008, IEEE Transactions on Industrial Electronics.
[16] Xiaosong Hu,et al. An enhanced multi-state estimation hierarchy for advanced lithium-ion battery management , 2020 .
[17] Norbert Doerry,et al. History and the Status of Electric Ship Propulsion, Integrated Power Systems, and Future Trends in the U.S. Navy , 2015, Proceedings of the IEEE.
[18] Jing Sun,et al. Adaptive model predictive control with propulsion load estimation and prediction for all-electric ship energy management , 2018 .
[19] Jing Sun,et al. Mitigating Power Fluctuations in Electric Ship Propulsion With Hybrid Energy Storage System: Design and Analysis , 2018, IEEE Journal of Oceanic Engineering.
[20] Tianshu Bi,et al. Historical-Data-Based Energy Management in a Microgrid With a Hybrid Energy Storage System , 2017, IEEE Transactions on Industrial Informatics.
[21] Josep M. Guerrero,et al. Hierarchical Control Design for a Shipboard Power System With DC Distribution and Energy Storage Aboard Future More-Electric Ships , 2018, IEEE Transactions on Industrial Informatics.
[22] Narayana Prasad Padhy,et al. Autonomous Power Control and Management Between Standalone DC Microgrids , 2018, IEEE Transactions on Industrial Informatics.
[23] Jing Sun,et al. Optimisation-based control for electrified vehicles: challenges and opportunities , 2015 .
[24] Guangzhong Dong,et al. Data-Driven Energy Management in a Home Microgrid Based on Bayesian Optimal Algorithm , 2019, IEEE Transactions on Industrial Informatics.
[25] Hongwen He,et al. Stochastic Model Predictive Control of Air Conditioning System for Electric Vehicles: Sensitivity Study, Comparison, and Improvement , 2018, IEEE Transactions on Industrial Informatics.
[26] Xiaosong Hu,et al. Energy management strategies of connected HEVs and PHEVs: Recent progress and outlook , 2019, Progress in Energy and Combustion Science.
[27] Tor Arne Johansen,et al. Battery Power Smoothing Control in a Marine Electric Power Plant Using Nonlinear Model Predictive Control , 2017, IEEE Transactions on Control Systems Technology.
[28] Hans Bernhoff,et al. Flywheel energy and power storage systems , 2007 .
[29] Ning Lu,et al. A Demand Response and Battery Storage Coordination Algorithm for Providing Microgrid Tie-Line Smoothing Services , 2014, IEEE Transactions on Sustainable Energy.
[30] Dirk Uwe Sauer,et al. Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application , 2013 .
[31] Yi Zhang,et al. A better understanding of long-range temporal dependence of traffic flow time series , 2018 .
[32] H. Hofmann,et al. Control development and performance evaluation for battery/flywheel hybrid energy storage solutions to mitigate load fluctuations in all-electric ship propulsion systems , 2018 .
[33] Kent Davey,et al. Dynamic Load and Storage Integration , 2015, Proceedings of the IEEE.
[34] Andreas Sumper,et al. Energy management of flywheel-based energy storage device for wind power smoothing , 2013 .
[35] Jing Sun,et al. Parameter Identification and Maximum Power Estimation of Battery/Supercapacitor Hybrid Energy Storage System Based on Cramer–Rao Bound Analysis , 2019, IEEE Transactions on Power Electronics.
[36] Timothy J. McCoy,et al. Electric Ships Past, Present, and Future [Technology Leaders] , 2015, IEEE Electrification Magazine.
[37] Heath Hofmann,et al. Combined State and Parameter Estimation of Lithium-Ion Battery With Active Current Injection , 2020, IEEE Transactions on Power Electronics.