A real-time hybrid battery state of charge and state of health estimation technique in renewable energy integrated microgrid applications

Author:

Gopahanal Manjunath Madhu1ORCID,Chintamani Vyjayanthi1,Modi Chirag2

Affiliation:

1. Department of Electrical & Electronics Engineering , National Institute of Technology Goa , Ponda , Goa , 403401 , India

2. Department of Computer Science and Engineering , National Institute of Technology Goa , Ponda , Goa , 403401 , India

Abstract

Abstract This paper presents a novel real-time hybrid battery state of charge (SoC) and state of health (SoH) estimation technique with less computational effort for optimal operation in renewable energy integrated microgrid applications. The proposed SoC estimation technique utilizes battery terminal voltage and current information along with stress factors like battery charge–discharge rates and temperature effects to accurately estimate the SoC. In addition, it considers the open-circuit voltage (OCV) and SoC relation to dynamically recalibrate the SoC during idle conditions. The proposed SoH estimation technique uses a modified coulomb counting method and variation of battery capacity at different charge–discharge rates to precisely estimate the SoH of the battery. Simulation studies are carried out by considering the aging factor, temperature effect, and charge–discharge rates to analyze the performance of the proposed techniques under various dynamic conditions. A LabVIEW-based application is developed, and experimental verification in terms of estimation accuracy, real-time monitoring is carried out to verify the efficacy of the proposed technique. A comparative analysis with state-of-the-art estimation techniques is presented for validating the effectiveness and usefulness in real-time applications.

Funder

Ministry of New and Renewable Energy India

Publisher

Walter de Gruyter GmbH

Subject

Energy Engineering and Power Technology

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