Battery Models and Estimation Techniques for Energy Storage Systems in Residential Buildings

Authors

  • P. V. L. Narasimha Rao B. Tech Students of EEE (2021-25), Department of Electrical Engineering, National Institute of Technology Andhra Pradesh, Tadepalligudem, Andhra Pradesh 534 101, India. Author
  • V. Lavanya B. Tech Students of EEE (2021-25), Department of Electrical Engineering, National Institute of Technology Andhra Pradesh, Tadepalligudem, Andhra Pradesh 534 101, India. Author
  • D. Manasa B. Tech Students of EEE (2021-25), Department of Electrical Engineering, National Institute of Technology Andhra Pradesh, Tadepalligudem, Andhra Pradesh 534 101, India. Author
  • Sairam Boggavarapu Assistant Professor, Assistant Professor, Department of Electrical, Electronics and Communication Engineering, Indian Instite of Technology (IIT) Dharwad, Permanent Campus, Chikkamalligawad, Dharwad – 580 007, Karnataka, India. Author https://orcid.org/0000-0002-4406-1070
  • Bhanu Pratap Soni School of Electrical & Electronics Engineering, Fiji National University, Suva, Fiji. Author https://orcid.org/0000-0001-8138-5392

DOI:

https://doi.org/10.71426/jmt.v1.i1.pp47-58

Keywords:

Battery Models, State of Charge (SOC), Estimation Techniques, Equivalent circuit

Abstract

This paper presents a comprehensive analysis of battery models and estimation techniques, focusing on their applications in residential buildings. The paper begins by exploring various battery models, including electrochemical, electrical equivalent circuit models. Different estimation techniques through various tests are discussed to provide insights into accurate battery parameter estimation. The applications of battery models in residential buildings are then discussed, highlighting energy storage sizing, energy management and optimization, and backup power supply. Additionally, it emphasizes the significance of software tools for battery modelling and simulation. Overall, this paper serves as a valuable resource for researchers, engineers, and decision-makers involved in the design and operation of residential energy systems, enabling them to make informed decisions regarding battery selection, sizing, and control strategies.

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Published

2024-09-08

Issue

2024: Volume-1 | Issue-1 (January to June)

Section

Review Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Journal of Modern Technology (JMT) Journal operates under the Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). This allows others distribute, remix, tweak, and build upon the work, even commercially, as long as they credit the authors for the original creation. All authors publishing in JMT Journal accept these as the terms of publication.

How to Cite

Rao, P. V. L. N., V. Lavanya, D. Manasa, Boggavarapu, S., & Soni, B. P. (2024). Battery Models and Estimation Techniques for Energy Storage Systems in Residential Buildings. Journal of Modern Technology, 1(1), 47~58. https://doi.org/10.71426/jmt.v1.i1.pp47-58