2012Unpublished venueRequires access

Detail analysis of RC parallel network-based model for high capacity lithium ferro phosphates battery

Low Wen Yao, Mohd Junaidi Abdul Aziz, Nasiibah Ramli

Open publisher page 4 citations

Abstract

RC parallel network-based battery models are popular since they can precisely predict the battery dynamic behaviours including battery relaxation effect. In this paper, the battery model is studied in details. The aim of this paper is to analyse the performances of several RC parallel network-based battery models in high capacity LiFePO4 battery. There are three types of RC parallel network-based battery models used for modelling the high capacity LiFePO4 battery; they are battery model with single RC parallel network, two RC parallel networks and three RC parallel networks. The performances of these RC parallel network-based battery models are discussed in details by comparing the simulated results of the battery models with the experimental data taken from the battery test. In this paper, self-discharging effect, capacity reduction and temperature effect are ignored.

About this research paper

What this paper is about

RC parallel network-based battery models are popular since they can precisely predict the battery dynamic behaviours including battery relaxation effect. In this paper, the battery model is studied in details. The aim of this paper is to analyse the performances of several RC parallel network-based battery models in high capacity LiFePO4 battery. There are three types of RC parallel network-based battery models used for modelling the high capacity LiFePO4 battery; they are battery model with single RC parallel network, two RC parallel networks and three RC parallel networks. The performances of these RC parallel network-based battery models are discussed in details by comparing the simulated results of the battery models with the experimental data taken from the battery test. In this paper, self-discharging effect, capacity reduction and temperature effect are ignored.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

RC parallel network-based battery models are popular since they can precisely predict the battery dynamic behaviours including battery relaxation effect. In this paper, the battery model is studied in details. The aim of this paper is to analyse the performances of several RC parallel network-based battery models in high capacity LiFePO4 battery. There are three types of RC parallel network-based battery models used for modelling the high capacity LiFePO4 battery; they are battery model with single RC parallel network, two RC parallel networks and three RC parallel networks. The performances of these RC parallel network-based battery models are discussed in details by comparing the simulated results of the battery models with the experimental data taken from the battery test. In this paper, self-discharging effect, capacity reduction and temperature effect are ignored.

Key concepts: Lithium (medication), Battery (electricity), Computer science, Lithium battery, Reliability engineering, Engineering, Chemistry, Physics

Related papers

Back to paper searchBrowse research topicsOriginal source
Detail analysis of RC parallel network-based model for high capacity lithium ferro phosphates battery — Research Paper | ScholarLens