A review on state-of-charge estimation methods, energy storage technologies and state-of-the-art simulators : recent developments and challenges

Show simple item record

dc.contributor.author Kunatsa, Tawanda
dc.contributor.author Myburgh, Hermanus C.
dc.contributor.author De Freitas, Allan
dc.date.accessioned 2024-11-29T09:21:48Z
dc.date.available 2024-11-29T09:21:48Z
dc.date.issued 2024-09
dc.description.abstract Exact state-of-charge estimation is necessary for every application related to energy storage systems to protect the battery from deep discharging and overcharging. This leads to an improvement in discharge efficiency and extends the battery lifecycle. Batteries are a main source of energy and are usually monitored by management systems to achieve optimal use and protection. Coming up with effective methods for battery management systems that can adequately estimate the state-of-charge of batteries has become a great challenge that has been studied in the literature for some time. Hence, this paper analyses the different energy storage technologies, highlighting their merits and demerits. The various estimation methods for state-of-charge are discussed, and their merits and demerits are compared, while possible applications are pointed out. Furthermore, factors affecting the battery state-of-charge and approaches to managing the same are discussed and analysed. The different modelling tools used to carry out simulations for energy storage experiments are analysed and discussed. Additionally, a quantitative comparison of different technical and economic modelling simulators for energy storage applications is presented. Previous research works have been found to lack accuracy under varying conditions and ageing effects; as such, integrating hybrid approaches for enhanced accuracy in state-of-charge estimations is advised. With regards to energy storage technologies, exploring alternative materials for improved energy density, safety and sustainability exists as a huge research gap. The development of effective battery management systems for optimisation and control is yet to be fully exploited. When it comes to state-of-the-art simulators, integrating multiscale models for comprehensive understanding is of utmost importance. Enhancing adaptability across diverse battery chemistries and rigorous validation with real-world data is essential. To sum up the paper, future research directions and a conclusion are given. en_US
dc.description.department Electrical, Electronic and Computer Engineering en_US
dc.description.librarian hj2024 en_US
dc.description.sdg SDG-07:Affordable and clean energy en_US
dc.description.sponsorship The ARO. en_US
dc.description.uri https://www.mdpi.com/journal/wevj en_US
dc.identifier.citation De Freitas, A. A Review on State-of-Charge Estimation Methods, Energy Storage Technologies and State-of-the-Art Simulators: Recent Developments and Challenges. World Electric Vehicle Journal 2024, 15, 381. https://doi.org/10.3390/wevj15090381. en_US
dc.identifier.issn 2032-6653 (online)
dc.identifier.other 10.3390/wevj1509038
dc.identifier.uri http://hdl.handle.net/2263/99692
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.rights © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). en_US
dc.subject State-of-charge estimation methods en_US
dc.subject Modelling and simulation tools en_US
dc.subject Battery energy storage technologies en_US
dc.subject State-of-charge en_US
dc.subject SDG-07: Affordable and clean energy en_US
dc.subject Battery management system (BMS) en_US
dc.title A review on state-of-charge estimation methods, energy storage technologies and state-of-the-art simulators : recent developments and challenges en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record