A Review on Battery Modelling Techniques

S. Tamilselvi, S. Gunasundari, N. Karuppiah, Abdul Razak Rk, S. Madhusudan, Vikas Madhav Nagarajan, T. Sathish, Mohammed Zubair M. Shamim, C. Ahamed Saleel and Asif Afzal
Additional contact information
S. Tamilselvi: Department of Electrical & Electronics Engineering, SSN College of Engineering, Kalavakkam 603110, India
S. Gunasundari: Department of Computer Science and Engineering, Velammal Engineering College, Chennai 600066, India
N. Karuppiah: Department of Electrical and Electronics Engineering, Vardhaman College of Engineering, Hyderabad 501218, India
Abdul Razak Rk: Department of Mechanical Engineering, P. A. College of Engineering, (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru 574153, India
S. Madhusudan: Department of Electrical & Electronics Engineering, SSN College of Engineering, Kalavakkam 603110, India
Vikas Madhav Nagarajan: Department of Chemical Engineering, SSN College of Engineering, Kalavakkam 603110, India
T. Sathish: Department of Mechanical Engineering, Saveetha School of Engineering, SIMATS, Chennai 602105, India
Mohammed Zubair M. Shamim: Department of Electrical Engineering, College of Engineering, King Khalid University, P.O. Box 394, Abha 61421, Saudi Arabia
C. Ahamed Saleel: Department of Mechanical Engineering, College of Engineering, King Khalid University, P.O. Box 394, Abha 61421, Saudi Arabia
Asif Afzal: Department of Mechanical Engineering, P. A. College of Engineering, (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru 574153, India

Sustainability, 2021, vol. 13, issue 18, 1-26

Abstract: The growing demand for electrical energy and the impact of global warming leads to a paradigm shift in the power sector. This has led to the increased usage of renewable energy sources. Due to the intermittent nature of the renewable sources of energy, devices capable of storing electrical energy are required to increase its reliability. The most common means of storing electrical energy is battery systems. Battery usage is increasing in the modern days, since all mobile systems such as electric vehicles, smart phones, laptops, etc., rely on the energy stored within the device to operate. The increased penetration rate of the battery system requires accurate modelling of charging profiles to optimise performance. This paper presents an extensive study of various battery models such as electrochemical models, mathematical models, circuit-oriented models and combined models for different types of batteries. It also discusses the advantages and drawbacks of these types of modelling. With AI emerging and accelerating all over the world, there is a scope for researchers to explore its application in multiple fields. Hence, this work discusses the application of several machine learning and meta heuristic algorithms for battery management systems. This work details the charging and discharging characteristics using the black box and grey box techniques for modelling the lithium-ion battery. The approaches, advantages and disadvantages of black box and grey box type battery modelling are analysed. In addition, analysis has been carried out for extracting parameters of a lithium-ion battery model using evolutionary algorithms.

Keywords: electrochemical models; mathematical models; circuit-oriented models; black box modelling; grey box modelling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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