Multivariate optimization for maximum capacity of lead acid battery through Taguchi method

Abstract The battery is an important electrochemical constituent for sustaining the trouble free and uninterrupted service to its users. Estimation of battery capacity and various states are very important to efficiently allocated available energy and to reduce the possibility of system failure. The estimation could become more complicated when the investigations are to be made under multiple parameters. In this research work, Taguchi method is used to achieve maximum capacity of 12 V 7.2 Ah AMARON SLA SMF battery under condition of C-rate, temperature and relative humidity. A regression model based on the experimental results is developed and validated by high R2 values (97.02%) for maximum capacity attained. Estimated operating conditions obtained for objective function by regression model equation are; C-rate 0.05C, temperature 313 K and relative humidity 25%. The results will shed light on better understanding the effect of multiple parameters on capacity of lead acid battery.

[1]  Liang-Rui Chen,et al.  A Design of an Optimal Battery Pulse Charge System by Frequency-Varied Technique , 2007, IEEE Transactions on Industrial Electronics.

[2]  Furong Gao,et al.  A fast estimation algorithm for lithium-ion battery state of health , 2018, Journal of Power Sources.

[3]  Petr Křivík,et al.  Methods of SoC determination of lead acid battery , 2018 .

[4]  Nyoman Gunantara,et al.  A review of multi-objective optimization: Methods and its applications , 2018 .

[5]  Scott Fenstermacher,et al.  Advanced Lead–Acid Batteries and the Development of Grid-Scale Energy Storage Systems , 2014, Proceedings of the IEEE.

[6]  Hansong Cheng,et al.  Functionalized meso/macro-porous single ion polymeric electrolyte for applications in lithium ion batteries , 2014 .

[7]  Yi-Hwa Liu,et al.  Search for an Optimal Rapid-Charging Pattern for Li-Ion Batteries Using the Taguchi Approach , 2010, IEEE Transactions on Industrial Electronics.

[8]  Hansong Cheng,et al.  Functionalized polystyrene based single ion conducting gel polymer electrolyte for lithium batteries , 2014 .

[9]  Alfred Rufer,et al.  Energy Storage: Systems and Components , 2017 .

[10]  David Linden,et al.  Linden's Handbook of Batteries , 2010 .

[11]  Dong Wang,et al.  Piecewise model based intelligent prognostics for state of health prediction of rechargeable batteries with capacity regeneration phenomena , 2019 .

[12]  Miguel de Simón-Martín,et al.  Optimized design method for storage systems in photovoltaic plants with delivery limitation , 2019, Solar Energy.

[13]  Yi-Hua Liu,et al.  A fast-charging pattern search for li-ion batteries with fuzzy-logic-based Taguchi method , 2015, 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA).

[14]  S. Mathur,et al.  Control of aluminium in treated water after defluoridation by electrocoagulation and modelling of adsorption isotherms , 2016 .

[15]  Naehyuck Chang,et al.  A scalable and flexible hybrid energy storage system design and implementation , 2014 .

[16]  Riccardo Amirante,et al.  Overview on recent developments in energy storage: Mechanical, electrochemical and hydrogen technologies , 2017 .

[17]  Elizabeth A. Peck,et al.  Introduction to Linear Regression Analysis , 2001 .

[18]  Zhiqiang Gao,et al.  A high performance polysiloxane-based single ion conducting polymeric electrolyte membrane for application in lithium ion batteries , 2015 .

[19]  Ashutosh Kumar Singh,et al.  Multiobjective optimization for minimum residual fluoride and specific energy in electrocoagulation process , 2016 .

[20]  D. Isa,et al.  Capacitance and equivalent series resistance (ESR) optimization using the Taguchi technique for EDLC's , 2010, 2010 International Conference on Electronic Devices, Systems and Applications.

[21]  Henk Jan Bergveld,et al.  Accuracy analysis of the state-of-charge and remaining run-time determination for lithium-ion batteries , 2009 .

[22]  Lin Chen,et al.  A new state-of-health estimation method for lithium-ion batteries through the intrinsic relationship between ohmic internal resistance and capacity , 2018 .

[23]  Zhenpo Wang,et al.  State-of-Health Estimation for Lithium-Ion Batteries Based on the Multi-Island Genetic Algorithm and the Gaussian Process Regression , 2017, IEEE Access.

[24]  P. Sahoo,et al.  Electrochemical Impedance Spectroscopy of Ni-B Coatings and Optimization by Taguchi Method and Grey Relational Analysis , 2011 .

[25]  Shaojie Qiao,et al.  A high-order state-of-charge estimation model by cubature particle filter , 2019, Measurement.

[26]  H. A. Bastawrous,et al.  Accurate approach to the temperature effect on state of charge estimation in the LiFePO4 battery under dynamic load operation , 2017 .

[27]  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 .

[28]  Y. Alias,et al.  The optimization of effective parameters for electrodeposition of reduced graphene oxide through Taguchi method to evaluate the charge transfer , 2019, Measurement.

[29]  Mostafa Hajiaghaei-Keshteli,et al.  A tri-level location-allocation model for forward/reverse supply chain , 2018, Appl. Soft Comput..

[30]  Azah Mohamed,et al.  Heuristic optimization of state-of-charge feedback controller parameters for output power dispatch of hybrid photovoltaic/battery energy storage system , 2014 .

[31]  R. Ellahi,et al.  Optimization of mixed convection heat transfer with entropy generation in a wavy surface square lid-driven cavity by means of Taguchi approach , 2016 .

[32]  Ke Li,et al.  Hydraulic Free Piston Engine Enabled by Active Motion Control , 2013 .

[33]  Chunbo Zhu,et al.  State-of-Charge Determination From EMF Voltage Estimation: Using Impedance, Terminal Voltage, and Current for Lead-Acid and Lithium-Ion Batteries , 2007, IEEE Transactions on Industrial Electronics.

[34]  Turgay Kıvak,et al.  Optimization of surface roughness and flank wear using the Taguchi method in milling of Hadfield steel with PVD and CVD coated inserts , 2014 .