Review of Strategies for Hybrid Energy Storage Management System in Electric Vehicle Application
Electric Vehicles (EV) appear to be gaining increasing patronage as a feasible alternative to Internal Combustion Engine Vehicles (ICEVs) for having low emission and high operation efficiency. The EV energy storage systems are required to handle high energy and power density capacity constrained by limited space, operating temperature, weight and cost. The choice of strategies for energy storage evaluation, monitoring and control remains a challenging task. This paper presents review of various energy storage technologies and recent researches in battery evaluation techniques used in EV applications. It also underscores strategies for the hybrid energy storage management and control schemes for the improvement of EV stability and reliability. The study reveals that despite the advances recorded in battery technologies there is still no cell which possess both the optimum power and energy densities among other requirements, for EV application. However combination of two or more energy storages as hybrid and allowing the advantageous attributes from each device to be utilized is a promising solution. The review also reveals that State-of-Charge (SoC) is the most crucial method for battery estimation. The conventional method of SoC measurement is however questioned in the literature and adaptive algorithms that include all model of disturbances are being proposed. The review further suggests that heuristic-based approach is commonly adopted in the development of strategies for hybrid energy storage system management. The alternative approach which is optimization-based is found to be more accurate but is memory and computational intensive and as such not recommended in most real-time applications.
[1] Boicea, V.A., Energy Storage Technologies: The Past and the Present. Proceedings of the IEEE, 2014. 102(11): p. 1777-1794.
[2] Garcia, J., et al., A novel approach for global environmental performance evaluation of electric batteries for hybrid vehicles. Journal of Cleaner Production, 2017. 156: p. 406-417.
[3] Waag, W., C. Fleischer, and D.U. Sauer, Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles. Journal of Power Sources, 2014. 258: p. 321-339.
[4] 4Hu, K.W., P.H. Yi, and C.M. Liaw, An EV SRM Drive Powered by Battery/Supercapacitor With G2V and V2H/V2G Capabilities. IEEE Transactions on Industrial Electronics, 2015. 62(8): p. 4714-4727.
[5] Wang, Q., et al., A critical review of thermal management models and solutions of lithium-ion batteries for the development of pure electric vehicles. Renewable and Sustainable Energy Reviews, 2016. 64: p. 106-128.
[6] Mahmoudzadeh Andwari, A., et al., A review of Battery Electric Vehicle technology and readiness levels. Renewable and Sustainable Energy Reviews, 2017. 78: p. 414-430.
[7] Li, Y., J. Yang, and J. Song, Efficient storage mechanisms and heterogeneous structures for building better next-generation lithium rechargeable batteries. Renewable and Sustainable Energy Reviews.
[8] Mesbahi, T., et al., Dynamical modelling and emulation of Li-ion batteries–supercapacitors hybrid power supply for electric vehicle applications. IET Electrical Systems in Transportation, 2016. 7(2): p. 161-169.
[9] Jingshan, L., Z. Shiyu, and H. Yehui, Review of Structures and Control of Battery¿¿? Supercapacitor Hybrid Energy Storage System for Electric Vehicles, in Advances in Battery Manufacturing, Service, and Management Systems. 2017, Wiley-IEEE Press. p. 416.
[10] Chotia, I. and S. Chowdhury. Battery storage and hybrid battery supercapacitor storage systems: A comparative critical review. in 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA). 2015.
[11] Cohen, I.J., et al., Evaluation of a Hybrid Energy Storage Module for Pulsed Power Applications. IEEE Transactions on Plasma Science, 2014. 42(10): p. 2948-2955.
[12] Adhikari, S., et al. A battery/supercapacitor hybrid energy storage system for DC microgrids. in 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia). 2016.
[13] Sheng, S., et al. A control strategy for hybrid energy storage system based on state of charge and variable filter coefficient. in International Conference on Renewable Power Generation (RPG 2015). 2015.
[14] Samani, H. and X. Fernando, Battery Current’s Fluctuations Removal in Hybrid Energy Storage System Based on Optimized Control of Supercapacitor Voltage. IEEE Embedded Systems Letters, 2016. 8(3): p. 53-56.
[15] Kim, Y., V. Raghunathan, and A. Raghunathan, Design and Management of Battery-Supercapacitor Hybrid Electrical Energy Storage Systems for Regulation Services. IEEE Transactions on Multi-Scale Computing Systems, 2017. 3(1): p. 12-24.
[16] Hoque, M.M., et al., Battery charge equalization controller in electric vehicle applications: A review. Renewable and Sustainable Energy Reviews, 2017. 75: p. 1363-1385.
[17] Farmann, A., et al., Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles. Journal of Power Sources, 2015. 281: p. 114-130.
[18] Kim, J., Y. Suharto, and T.U. Daim, Evaluation of Electrical Energy Storage (EES) technologies for renewable energy: A case from the US Pacific Northwest. Journal of Energy Storage, 2017. 11: p. 25-54.
[19] Wang, H., Q. Wang, and B. Hu, A review of developments in energy storage systems for hybrid excavators. Automation in Construction, 2017. 80: p. 1-10.
[20] Hannan, M.A., et al., A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations. Renewable and Sustainable Energy Reviews, 2017. 78: p. 834-854.
[21] Pedram, M., et al. Hybrid electrical energy storage systems. in 2010 ACM/IEEE International Symposium on Low-Power Electronics and Design (ISLPED). 2010.
[22] Gee, A.M., F.V.P. Robinson, and R.W. Dunn, Analysis of Battery Lifetime Extension in a Small-Scale Wind-Energy System Using Supercapacitors. IEEE Transactions on Energy Conversion, 2013. 28(1): p. 24-33.
[23] Zheng, W., K. Ma, and X. Wang, Hybrid Energy Storage with Supercapacitor for Cost-Efficient Data Center Power Shaving and Capping. IEEE Transactions on Parallel and Distributed Systems, 2017. 28(4): p. 1105-1118.
[24] Chia, Y.Y., et al., A load predictive energy management system for supercapacitor-battery hybrid energy storage system in solar application using the Support Vector Machine. Applied Energy, 2015. 137: p. 588-602.
[25] Leuchter, J., P. Bauer, and V. Steklý. Battery-supercapacitors mixed as electrical power buffers. in 5th IET International Conference on Power Electronics, Machines and Drives (PEMD 2010). 2010.
[26] Fotouhi, A., et al., A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur. Renewable and Sustainable Energy Reviews, 2016. 56: p. 1008-1021.
[27] Capasso, C. and O. Veneri, Integration between Super-capacitors and ZEBRA Batteries as High Performance Hybrid Storage System for Electric Vehicles. Energy Procedia, 2017. 105: p. 2539-2544.
[28] Cabrane, Z., M. Ouassaid, and M. Maaroufi, Analysis and evaluation of battery-supercapacitor hybrid energy storage system for photovoltaic installation. International Journal of Hydrogen Energy, 2016. 41(45): p. 20897-20907.
[29] Mesbahi, T., et al., Combined Optimal Sizing and Control of Li-Ion Battery/Supercapacitor Embedded Power Supply Using Hybrid Particle Swarm–Nelder–Mead Algorithm. IEEE Transactions on Sustainable Energy, 2017. 8(1): p. 59-73.
[30] Castaings, A., et al., Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real-time constraints. Applied Energy, 2016. 163: p. 190-200.
[31] Alguail, A.A., et al., Battery type hybrid supercapacitor based on polypyrrole and lead-lead sulfate. Journal of Power Sources, 2016. 313: p. 240-246.
[32] Ju, F., et al. Review of structures and control of battery-supercapacitor hybrid energy storage system for electric vehicles. in 2014 IEEE International Conference on Automation Science and Engineering (CASE). 2014.
[33] Nwesaty, W., A.I. Bratcu, and O. Sename, Power sources coordination through multivariable linear parameter-varying/control with application to multi-source electric vehicles. IET Control Theory & Applications, 2016. 10(16): p. 2049-2059.
[34] Xing, Y.O., W.M. Eden, and K.L. Tsui, Battery Management Ssystem in Electric and Hybrid Vehicles. Energies, 2011. 4(1840-1857).
[35] Jackey, R.A., A Simple, Effective Lead-Acid Battery Modeling Process for Electrical System Component Selection. 2007, SAE International.
[36] Motapon, S.N., L.A. Dessaint, and K. Al-Haddad, A Comparative Study of Energy Management Schemes for a Fuel-Cell Hybrid Emergency Power System of More-Electric Aircraft. IEEE Transactions on Industrial Electronics, 2014. 61(3): p. 1320-1334.
[37] Farmann, A. and D.U. Sauer, A comprehensive review of on-board State-of-Available-Power prediction techniques for lithium-ion batteries in electric vehicles. Journal of Power Sources, 2016. 329: p. 123-137.
[38] Cuma, M.U. and T. Koroglu, A comprehensive review on estimation strategies used in hybrid and battery electric vehicles. Renewable and Sustainable Energy Reviews, 2015. 42: p. 517-531.
[39] Li, Z., et al., On state-of-charge determination for lithium-ion batteries. Journal of Power Sources, 2017. 348: p. 281-301.
[40] Berecibar, M., et al., Critical review of state of health estimation methods of Li-ion batteries for real applications. Renewable and Sustainable Energy Reviews, 2016. 56: p. 572-587.
[41] Huang, S.-C., et al., An online SOC and SOH Estimation model for Lithium-ion Batteries. Energies, 2017. 10(512).
[42] Ma, T., H. Yang, and L. Lu, Development of hybrid battery–supercapacitor energy storage for remote area renewable energy systems. Applied Energy, 2015. 153: p. 56-62.
[43] Xu, Q., et al., A Decentralized Dynamic Power Sharing Strategy for Hybrid Energy Storage System in Autonomous DC Microgrid. IEEE Transactions on Industrial Electronics, 2017. 64(7): p. 5930-5941.
[44] Jarushi, A.M. and N. Schofield. Battery and supercapacitor combination for a series hybrid electric vehicle. in 5th IET International Conference on Power Electronics, Machines and Drives (PEMD 2010). 2010.
[1] Boicea, V.A., Energy Storage Technologies: The Past and the Present. Proceedings of the IEEE, 2014. 102(11): p. 1777-1794.
[2] Garcia, J., et al., A novel approach for global environmental performance evaluation of electric batteries for hybrid vehicles. Journal of Cleaner Production, 2017. 156: p. 406-417.
[3] Waag, W., C. Fleischer, and D.U. Sauer, Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles. Journal of Power Sources, 2014. 258: p. 321-339.
[4] 4Hu, K.W., P.H. Yi, and C.M. Liaw, An EV SRM Drive Powered by Battery/Supercapacitor With G2V and V2H/V2G Capabilities. IEEE Transactions on Industrial Electronics, 2015. 62(8): p. 4714-4727.
[5] Wang, Q., et al., A critical review of thermal management models and solutions of lithium-ion batteries for the development of pure electric vehicles. Renewable and Sustainable Energy Reviews, 2016. 64: p. 106-128.
[6] Mahmoudzadeh Andwari, A., et al., A review of Battery Electric Vehicle technology and readiness levels. Renewable and Sustainable Energy Reviews, 2017. 78: p. 414-430.
[7] Li, Y., J. Yang, and J. Song, Efficient storage mechanisms and heterogeneous structures for building better next-generation lithium rechargeable batteries. Renewable and Sustainable Energy Reviews.
[8] Mesbahi, T., et al., Dynamical modelling and emulation of Li-ion batteries–supercapacitors hybrid power supply for electric vehicle applications. IET Electrical Systems in Transportation, 2016. 7(2): p. 161-169.
[9] Jingshan, L., Z. Shiyu, and H. Yehui, Review of Structures and Control of Battery¿¿? Supercapacitor Hybrid Energy Storage System for Electric Vehicles, in Advances in Battery Manufacturing, Service, and Management Systems. 2017, Wiley-IEEE Press. p. 416.
[10] Chotia, I. and S. Chowdhury. Battery storage and hybrid battery supercapacitor storage systems: A comparative critical review. in 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA). 2015.
[11] Cohen, I.J., et al., Evaluation of a Hybrid Energy Storage Module for Pulsed Power Applications. IEEE Transactions on Plasma Science, 2014. 42(10): p. 2948-2955.
[12] Adhikari, S., et al. A battery/supercapacitor hybrid energy storage system for DC microgrids. in 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia). 2016.
[13] Sheng, S., et al. A control strategy for hybrid energy storage system based on state of charge and variable filter coefficient. in International Conference on Renewable Power Generation (RPG 2015). 2015.
[14] Samani, H. and X. Fernando, Battery Current’s Fluctuations Removal in Hybrid Energy Storage System Based on Optimized Control of Supercapacitor Voltage. IEEE Embedded Systems Letters, 2016. 8(3): p. 53-56.
[15] Kim, Y., V. Raghunathan, and A. Raghunathan, Design and Management of Battery-Supercapacitor Hybrid Electrical Energy Storage Systems for Regulation Services. IEEE Transactions on Multi-Scale Computing Systems, 2017. 3(1): p. 12-24.
[16] Hoque, M.M., et al., Battery charge equalization controller in electric vehicle applications: A review. Renewable and Sustainable Energy Reviews, 2017. 75: p. 1363-1385.
[17] Farmann, A., et al., Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles. Journal of Power Sources, 2015. 281: p. 114-130.
[18] Kim, J., Y. Suharto, and T.U. Daim, Evaluation of Electrical Energy Storage (EES) technologies for renewable energy: A case from the US Pacific Northwest. Journal of Energy Storage, 2017. 11: p. 25-54.
[19] Wang, H., Q. Wang, and B. Hu, A review of developments in energy storage systems for hybrid excavators. Automation in Construction, 2017. 80: p. 1-10.
[20] Hannan, M.A., et al., A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations. Renewable and Sustainable Energy Reviews, 2017. 78: p. 834-854.
[21] Pedram, M., et al. Hybrid electrical energy storage systems. in 2010 ACM/IEEE International Symposium on Low-Power Electronics and Design (ISLPED). 2010.
[22] Gee, A.M., F.V.P. Robinson, and R.W. Dunn, Analysis of Battery Lifetime Extension in a Small-Scale Wind-Energy System Using Supercapacitors. IEEE Transactions on Energy Conversion, 2013. 28(1): p. 24-33.
[23] Zheng, W., K. Ma, and X. Wang, Hybrid Energy Storage with Supercapacitor for Cost-Efficient Data Center Power Shaving and Capping. IEEE Transactions on Parallel and Distributed Systems, 2017. 28(4): p. 1105-1118.
[24] Chia, Y.Y., et al., A load predictive energy management system for supercapacitor-battery hybrid energy storage system in solar application using the Support Vector Machine. Applied Energy, 2015. 137: p. 588-602.
[25] Leuchter, J., P. Bauer, and V. Steklý. Battery-supercapacitors mixed as electrical power buffers. in 5th IET International Conference on Power Electronics, Machines and Drives (PEMD 2010). 2010.
[26] Fotouhi, A., et al., A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur. Renewable and Sustainable Energy Reviews, 2016. 56: p. 1008-1021.
[27] Capasso, C. and O. Veneri, Integration between Super-capacitors and ZEBRA Batteries as High Performance Hybrid Storage System for Electric Vehicles. Energy Procedia, 2017. 105: p. 2539-2544.
[28] Cabrane, Z., M. Ouassaid, and M. Maaroufi, Analysis and evaluation of battery-supercapacitor hybrid energy storage system for photovoltaic installation. International Journal of Hydrogen Energy, 2016. 41(45): p. 20897-20907.
[29] Mesbahi, T., et al., Combined Optimal Sizing and Control of Li-Ion Battery/Supercapacitor Embedded Power Supply Using Hybrid Particle Swarm–Nelder–Mead Algorithm. IEEE Transactions on Sustainable Energy, 2017. 8(1): p. 59-73.
[30] Castaings, A., et al., Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real-time constraints. Applied Energy, 2016. 163: p. 190-200.
[31] Alguail, A.A., et al., Battery type hybrid supercapacitor based on polypyrrole and lead-lead sulfate. Journal of Power Sources, 2016. 313: p. 240-246.
[32] Ju, F., et al. Review of structures and control of battery-supercapacitor hybrid energy storage system for electric vehicles. in 2014 IEEE International Conference on Automation Science and Engineering (CASE). 2014.
[33] Nwesaty, W., A.I. Bratcu, and O. Sename, Power sources coordination through multivariable linear parameter-varying/control with application to multi-source electric vehicles. IET Control Theory & Applications, 2016. 10(16): p. 2049-2059.
[34] Xing, Y.O., W.M. Eden, and K.L. Tsui, Battery Management Ssystem in Electric and Hybrid Vehicles. Energies, 2011. 4(1840-1857).
[35] Jackey, R.A., A Simple, Effective Lead-Acid Battery Modeling Process for Electrical System Component Selection. 2007, SAE International.
[36] Motapon, S.N., L.A. Dessaint, and K. Al-Haddad, A Comparative Study of Energy Management Schemes for a Fuel-Cell Hybrid Emergency Power System of More-Electric Aircraft. IEEE Transactions on Industrial Electronics, 2014. 61(3): p. 1320-1334.
[37] Farmann, A. and D.U. Sauer, A comprehensive review of on-board State-of-Available-Power prediction techniques for lithium-ion batteries in electric vehicles. Journal of Power Sources, 2016. 329: p. 123-137.
[38] Cuma, M.U. and T. Koroglu, A comprehensive review on estimation strategies used in hybrid and battery electric vehicles. Renewable and Sustainable Energy Reviews, 2015. 42: p. 517-531.
[39] Li, Z., et al., On state-of-charge determination for lithium-ion batteries. Journal of Power Sources, 2017. 348: p. 281-301.
[40] Berecibar, M., et al., Critical review of state of health estimation methods of Li-ion batteries for real applications. Renewable and Sustainable Energy Reviews, 2016. 56: p. 572-587.
[41] Huang, S.-C., et al., An online SOC and SOH Estimation model for Lithium-ion Batteries. Energies, 2017. 10(512).
[42] Ma, T., H. Yang, and L. Lu, Development of hybrid battery–supercapacitor energy storage for remote area renewable energy systems. Applied Energy, 2015. 153: p. 56-62.
[43] Xu, Q., et al., A Decentralized Dynamic Power Sharing Strategy for Hybrid Energy Storage System in Autonomous DC Microgrid. IEEE Transactions on Industrial Electronics, 2017. 64(7): p. 5930-5941.
[44] Jarushi, A.M. and N. Schofield. Battery and supercapacitor combination for a series hybrid electric vehicle. in 5th IET International Conference on Power Electronics, Machines and Drives (PEMD 2010). 2010.
@article{"International Journal of Electrical, Electronic and Communication Sciences:79772", author = "Kayode A. Olaniyi and Adeola A. Ogunleye and Tola M. Osifeko", title = "Review of Strategies for Hybrid Energy Storage Management System in Electric Vehicle Application", abstract = "Electric Vehicles (EV) appear to be gaining increasing patronage as a feasible alternative to Internal Combustion Engine Vehicles (ICEVs) for having low emission and high operation efficiency. The EV energy storage systems are required to handle high energy and power density capacity constrained by limited space, operating temperature, weight and cost. The choice of strategies for energy storage evaluation, monitoring and control remains a challenging task. This paper presents review of various energy storage technologies and recent researches in battery evaluation techniques used in EV applications. It also underscores strategies for the hybrid energy storage management and control schemes for the improvement of EV stability and reliability. The study reveals that despite the advances recorded in battery technologies there is still no cell which possess both the optimum power and energy densities among other requirements, for EV application. However combination of two or more energy storages as hybrid and allowing the advantageous attributes from each device to be utilized is a promising solution. The review also reveals that State-of-Charge (SoC) is the most crucial method for battery estimation. The conventional method of SoC measurement is however questioned in the literature and adaptive algorithms that include all model of disturbances are being proposed. The review further suggests that heuristic-based approach is commonly adopted in the development of strategies for hybrid energy storage system management. The alternative approach which is optimization-based is found to be more accurate but is memory and computational intensive and as such not recommended in most real-time applications.
", keywords = "Hybrid electric vehicle, hybrid energy storage, battery state estimation, ate of charge, state of health.", volume = "14", number = "8", pages = "224-9", }
