Author: Wang, Minghuang
Title: Modelling of battery storage system
Degree: M.Sc.
Year: 2023
Subject: Electric vehicles -- Batteries
Lithium ion batteries
Battery management system
Hong Kong Polytechnic University -- Dissertations
Department: Department of Electrical Engineering
Pages: vii, 67 pages : color illustrations
Language: English
Abstract: With the rapid development of lithium-ion batteries, more and more energy storage systems are using batteries as carriers. In the last five years in particular, electric vehicles have become a model for the efficient use of energy and the protection of the environment. It is therefore essential that lithium-ion energy storage systems are used in a rational and safe manner. Accidents, led by lithium batteries, have also increased with the popularity of electric vehicles. Therefore, the operating status of the battery system needs to be monitored and predicted in real time.
To solve the problem, various battery models are constructed to serve as a reference for the external characteristics of the battery. The algorithms have been incorporated into the model to enhance the accuracy of the model as an important part of the BMS (Battery Management System).
In this thesis, an Equivalent Circuit Model (ECM) is introduced. To verify the accuracy of the battery electrical system, a Kalman filtering based parameter extraction model is established. The influence of electrical parameters with temperature and operating conditions will be tested and discussed. Two thermal models will be conducted to demonstrate the equivalence of the physical domain. An ideal of the coupled electro-thermal system is introduced and established. Its adaptive capacity will be verified with an example.
Rights: All rights reserved
Access: restricted access

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/13106