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Energy Management System with Temperature Rise Prevention on Hybrid Ships

Authors: Asser S. Abdelwahab, Nabil H. Abbasy, Ragi A. Hamdy

Abstract:

Marine shipping has now become one of the major worldwide contributors to pollution and greenhouse gas emissions. Hybrid ships technology based on multiple energy sources has taken a great scope of research to get rid of ship emissions and cut down fuel expenses. Insufficiency between power generated and the demand load to withstand the transient behavior on ships during severe climate conditions will lead to a blackout. Thus, an efficient energy management system (EMS) is a mandatory scope for achieving higher system efficiency while enhancing the lifetime of the onboard storage systems is another salient EMS scope. Considering energy storage system conditions, both the battery state of charge (SOC) and temperature represent important parameters to prevent any malfunction of the storage system that eventually degrades the whole system. In this paper, a two battery packs ratio fuzzy logic control model is proposed. The overall aim is to control the charging/discharging current while including both the battery SOC and temperature in the energy management system. The full designs of the proposed controllers are described and simulated using Matlab. The results prove the successfulness of the proposed controller in stabilizing the system voltage during both loading and unloading while keeping the energy storage system in a healthy condition.

Keywords: energy storage system, fuzzy logic control, hybrid ship, thermal runaway

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References:


[1] A. Cuculić, D. Vučetić, R. Prenc, and J. Ćelić, "Analysis of Energy Storage Implementation on Dynamically Positioned Vessels," Energies, vol. 12, no. 3, 2019, doi: 10.3390/en12030444.
[2] M. Mutarraf, Y. Terriche, K. Niazi, J. Vasquez, and J. Guerrero, "Energy Storage Systems for Shipboard Microgrids—A Review," Energies, vol. 11, no. 12, 2018, doi: 10.3390/en11123492.
[3] M. Woody, M. Arbabzadeh, G. M. Lewis, G. A. Keoleian, and A. Stefanopoulou, "Strategies to limit degradation and maximize Li-ion battery service lifetime - Critical review and guidance for stakeholders," Journal of Energy Storage, vol. 28, 2020, doi: 10.1016/j.est.2020.101231.
[4] Aleksander Veksler, Tor Arne Johansen and Roger Skjetn, "Thrust allocation with power management functionality on dynamically positioned vessels," American Control Conference, 2012.
[5] Tarun Huria, Massimo Ceraolo and Javier Gazzarri, “High Fidelity Electrical Model with Thermal Dependence for Characterization and Simulation Of High Power Lithium Battery Cells,” IEEE International Electric Vehicle Conference, 2012.
[6] X. Gao and L. Fu, "SOC Optimization Based Energy Management Strategy for Hybrid Energy Storage System in Vessel Integrated Power System," IEEE Access, vol. 8, pp. 54611-54619, 2020, doi: 10.1109/access.2020.2981545.
[7] K. Kim, K. Park, G. Roh, and K. Chun, "DC-grid system for ships: a study of benefits and technical considerations," Journal of International Maritime Safety, Environmental Affairs, and Shipping, vol. 2, no. 1, pp. 1-12, 2018, doi: 10.1080/25725084.2018.1490239.
[8] Rene Prenc, Alexander cuculic and Ivan Baumgartner, "Advantages of using a DC power system on board ship", Jornal of maritime and transportation science, 2016.
[9] S. Hajiaghasi, A. Salemnia, and M. Hamzeh, "Hybrid energy storage system for microgrids applications: A review," Journal of Energy Storage, vol. 21, pp. 543-570, 2019, doi: 10.1016/j.est.2018.12.017.
[10] L. Farrier and R. Bucknall, "Assessing battery energy storage for integration with hybrid propulsion and high energy weapons," presented at the Proceedings of the Engine As A Weapon International Symposium (EAAW), 2019.
[11] W. Jing, C. H. Lai, W. S. H. Wong, and M. L. D. Wong, "Dynamic power allocation of battery-supercapacitor hybrid energy storage for standalone PV microgrid applications," Sustainable Energy Technologies and Assessments, vol. 22, pp. 55-64, 2017, doi: 10.1016/j.seta.2017.07.001.
[12] D. Karkosiński, W. A. Rosiński, P. Deinrych, and S. Potrykus, "Onboard Energy Storage and Power Management Systems for All-Electric Cargo Vessel Concept," Energies, vol. 14, no. 4, 2021, doi: 10.3390/en14041048.
[13] Y. Cui et al., "Multi-stress factor model for cycle lifetime prediction of lithium ion batteries with shallow-depth discharge," Journal of Power Sources, vol. 279, pp. 123-132, 2015, doi: 10.1016/j.jpowsour.2015.01.003.
[14] S. Ma et al., "Temperature effect and thermal impact in lithium-ion batteries: A review," Progress in Natural Science: Materials International, vol. 28, no. 6, pp. 653-666, 2018, doi: 10.1016/j.pnsc.2018.11.002.
[15] M. A. Hannan, Y. S. Young, M. M. Hoque, P. J. Ker, and M. N. Uddin, "Lithium Ion Battery Thermal Management System Using Optimized Fuzzy Controller," presented at the 2019 IEEE Industry Applications Society Annual Meeting, 2019.
[16] M.-K. Tran and M. Fowler, "A Review of Lithium-Ion Battery Fault Diagnostic Algorithms: Current Progress and Future Challenges," Algorithms, vol. 13, no. 3, 2020, doi: 10.3390/a13030062.
[17] S. Mohan, Y. Kim, and A. G. Stefanopoulou, "Estimating the Power Capability of Li-ion Batteries Using Informationally Partitioned Estimators," IEEE Transactions on Control Systems Technology, vol. 24, no. 5, pp. 1643-1654, 2016, doi: 10.1109/tcst.2015.2504847.