The development of novel services for battery storage in domestic applications and communal mini-smart grids

Lithium-ion battery technology remains a key factor in energy storage technology due to its advantageous features which include high energy and power density, low self-discharge, and longer lifespan. However, the continuous cycling of the battery over its lifetime results in gradual internal resistance growth due to electrochemical reactions leading to structural and chemical degradation. This study focuses on the utilisation of the Lithium-ion battery within residential applications and relevance in facilitating the decarbonisation of the UK’s energy generation and storage network. Firstly, the comprehensive analysis of various energy storage technologies considering their impact on the environment was carried out. This provides insights into the sustainability of the different renewable energy storage applications. This is followed by investigation of Lithium-ion battery chemistries, highlighting the individual energy and power densities, limitations, and their uses. An analytical model study to investigate internal resistance growth leading to loss of capacity in the battery was carried out through Battery Management System (BMS) design in MATLAB/Simulink software. For this study, State of Charge (SoC) and temperature parameters and their influence on internal resistance growth were investigated, highlighting the role of BMS in optimizing the operation of Lithium-ion batteries. Additionally, for evaluating the performance of the battery, a Decision Tree Energy Throughput prediction model was designed and validated using the Python Software. Moreover, a Solar PV/Battery system sizing case study was carried out with energy consumption data collected in collaboration with the industrial partner to the project. To demonstrate the optimal power flow of the system, an MPPT and DC-DC Boost Converter, highlighting the system performance at different irradiation levels was designed. This thesis contributes to advancing the understanding of Lithium-ion battery technology’s role in sustainable energy systems. The findings and recommendations generated from this study are expected to inform policy-making decisions, shape industry practices and accelerate the transition towards a low-carbon energy future in the UK and beyond.

Name dc:type.qualificationname

PhD

Level dc:type.qualificationlevel

Doctoral

Grantor dc:publisher.institution

University of Wolverhampton

Year dc:date.issued

2026

Author dc:creator

• OJETORO, FOLARIN

Advisor dc:contributor.advisor

• Tchuenbou-Magaia, Fideline

• lithium-ion batteries
• battery degradation modelling
• internal resistance growth
• energy throughput prediction
• state of health estimation
• residential energy storage systems
• solar PV–battery integration
• decision tree regression
• battery management systems
• data-driven modelling

Licence

• https://wlv.openrepository.com/bitstreams/0636e4e9-f5ea-4ba1-b695-2261429d6d25/download