Wavelet-based power management for hybrid energy storage system

A wavelet-based power management system is proposed in this paper with a combination of the battery and ultracapacitor (UC) hybrid energy storage system (HESS). The wavelet filter serves as a frequency-based filter for distributing the power between the battery and UC. In order to determine the optimal level of wavelet decomposition as well as the optimal activation power of the wavelet controller, an optimization procedure is established. The proposed frequency-based power management system moderates the usage of battery current, consequently improving its lifetime. Compared with the conventional threshold-based power management systems, the proposed system has the advantage of enhanced battery and UC power management. A LiFePO4 battery is considered and its life loss is modeled. As a case study, an electric motorcycle is evaluated in the federal test procedure (FTP) driving cycle. Compared with a conventional energy storage system (ESS) and a state of available power (SoP) management systems, the results show an improvement for the battery lifetime by 115% and 3%, respectively. The number of battery replacements is increased, and the energy recovery is improved. The 10-year overall costs of the proposed HESS strategy using wavelet are 1500 dollars lower, compared with the ESS.

[1]  G. Ledwich,et al.  The operating schedule for battery energy storage companies in electricity market , 2013 .

[2]  A. Bouscayrol,et al.  Influence of control strategies on battery/supercapacitor hybrid Energy Storage Systems for traction applications , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[3]  M. Ye,et al.  Energy recovery for battery electric vehicles , 2008 .

[4]  Masoud Masih-Tehrani,et al.  A Novel Power Distribution System Employing State of Available Power Estimation for a Hybrid Energy Storage System , 2018, IEEE Transactions on Industrial Electronics.

[5]  Vahid Esfahanian,et al.  Power Distribution Development and Optimization of Hybrid Energy Storage System , 2014 .

[6]  Mohsen Esfahanian,et al.  Design and simulation of a hybrid flywheel bus , 2012 .

[7]  Shuo Zhang,et al.  Battery durability and longevity based power management for plug-in hybrid electric vehicle with hybrid energy storage system , 2016 .

[8]  Gregory L. Plett,et al.  High-performance battery-pack power estimation using a dynamic cell model , 2004, IEEE Transactions on Vehicular Technology.

[9]  Zonghai Chen,et al.  Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator , 2017 .

[10]  Seyed Taghi Akhavan Niaki,et al.  Energy manegement using fuzzy controller for hybrid electrical vehicles , 2016, J. Intell. Fuzzy Syst..

[11]  D. B. Talange,et al.  Development, modeling and characterization of aqueous metal oxide based supercapacitor , 2012 .

[12]  Afshin Ebrahimi,et al.  A novel hybrid approach for predicting wind farm power production based on wavelet transform, hybrid neural networks and imperialist competitive algorithm , 2016 .

[13]  Christian Fleischer,et al.  Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles , 2014 .

[14]  Meisam Amiri,et al.  Minimization of power losses in hybrid electric vehicles in view of the prolonging of battery life , 2009 .

[15]  Mohsen Esfahanian,et al.  Designing an intelligent control strategy for hybrid powertrains utilizing a fuzzy driving cycle identification agent , 2015 .

[16]  Wenxia LIU,et al.  Optimal planning of battery energy storage considering reliability benefit and operation strategy in active distribution system , 2017 .

[17]  M. Verbrugge,et al.  Cycle-life model for graphite-LiFePO 4 cells , 2011 .

[18]  Chris Mi,et al.  Wavelet-Transform-Based Power Management of Hybrid Vehicles with Multiple On-board Energy Sources Including Fuel Cell, Battery and Ultracapacitor , 2008 .

[19]  C. Subramani,et al.  A comprehensive review on energy management strategies of hybrid energy storage system for electric vehicles , 2017 .

[20]  A. Emadi,et al.  Electrochemical and Electrostatic Energy Storage and Management Systems for Electric Drive Vehicles: State-of-the-Art Review and Future Trends , 2016, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[21]  Andrew Burke,et al.  Ultracapacitor technologies and application in hybrid and electric vehicles , 2009 .

[22]  Yong Li,et al.  Application of Fuzzy Wavelet Transform to Smooth Wind/PV Hybrid Power System Output with Battery Energy Storage System , 2011 .

[23]  Jer‐Huan Jang,et al.  Study of electrochemical performances of lithium titanium oxide–coated LiFePO4/C cathode composite at low and high temperatures ☆ , 2016 .

[24]  Masoud Masih-Tehrani,et al.  Hybrid Genetic Algorithm and Linear Programming for Bulldozer Emissions and Fuel-Consumption Management Using Continuously Variable Transmission , 2018, Journal of Construction Engineering and Management.

[25]  Sheldon S. Williamson,et al.  Power-Electronics-Based Solutions for Plug-in Hybrid Electric Vehicle Energy Storage and Management Systems , 2010, IEEE Transactions on Industrial Electronics.

[26]  Haritza Camblong,et al.  Adaptive energy management strategy and optimal sizing applied on a battery-supercapacitor based tramway , 2016 .

[27]  Vahid Esfahanian,et al.  Development of a hybrid energy storage sizing algorithm associated with the evaluation of power management in different driving cycles , 2012 .

[28]  Wei GU,et al.  Fully distributed control to coordinate charging efficiencies for energy storage systems , 2018 .

[29]  Piyush Bubna,et al.  Integration of batteries with ultracapacitors for a fuel cell hybrid transit bus , 2012 .

[30]  Vahid Esfahanian,et al.  Optimum sizing and optimum energy management of a hybrid energy storage system for lithium battery life improvement , 2013 .

[31]  Rochdi Trigui,et al.  Optimal energy management of HEVs with hybrid storage system , 2013 .

[32]  Dirk Uwe Sauer,et al.  A comprehensive review of on-board State-of-Available-Power prediction techniques for lithium-ion batteries in electric vehicles , 2016 .

[33]  Mohsen Esfahanian,et al.  Performance analysis of hybrid energy storage in different driving cycles , 2011, 2011 2nd Power Electronics, Drive Systems and Technologies Conference.

[34]  Vassilios G. Agelidis,et al.  Application of explicit model predictive control to a hybrid battery-ultracapacitor power source , 2015 .

[35]  San Shing Choi,et al.  Capacity Optimization of Hybrid Energy Storage Systems in Microgrid Using Empirical Mode Decomposition and Neural Network , 2015 .

[36]  Jianqiu Li,et al.  Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach , 2015 .

[37]  Peter E.D. Love,et al.  Revisiting Quality Failure Costs in Construction , 2018 .

[38]  Truong Q. Nguyen,et al.  Structures for M-channel perfect-reconstruction FIR QMF banks which yield linear-phase analysis filters , 1990, IEEE Trans. Acoust. Speech Signal Process..

[39]  Yue Yuan,et al.  Determination of optimal supercapacitor-lead-acid battery energy storage capacity for smoothing wind power using empirical mode decomposition and neural network , 2015 .

[40]  Xin Wang,et al.  Moving window-based double haar wavelet transform for image processing , 2006, IEEE Transactions on Image Processing.

[41]  Danijel Pavković,et al.  A design of cascade control system and adaptive load compensator for battery/ultracapacitor hybrid energy storage-based direct current microgrid , 2016 .

[42]  Alon Kuperman,et al.  A frequency domain approach to analyzing passive battery–ultracapacitor hybrids supplying periodic pulsed current loads , 2011 .

[43]  Ozan Erdinc,et al.  A wavelet-fuzzy logic based energy management strategy for a fuel cell/battery/ultra-capacitor hybrid vehicular power system , 2009 .

[44]  Shuo Zhang,et al.  Model predictive control for power management in a plug-in hybrid electric vehicle with a hybrid energy storage system , 2017 .

[45]  Herbert L Case,et al.  An accelerated calendar and cycle life study of Li-ion cells. , 2001 .

[46]  Seddik Bacha,et al.  Adaptive frequency-separation-based energy management system for electric vehicles , 2015 .

[47]  Soteris A. Kalogirou,et al.  Artificial intelligence techniques for sizing photovoltaic systems: A review , 2009 .

[48]  Mohsen Esfahanian,et al.  Matlab-based modeling, simulation and design package for Eletric, Hydraulic and Flywheel hybrid powertrains of a city bus , 2014 .

[49]  Xu Hui,et al.  The structure and control method of hybrid power source for electric vehicle , 2016 .

[50]  Liangzhong YAO,et al.  Challenges and progresses of energy storage technology and its application in power systems , 2016 .