Temperature Effect and Battery Charging Characteristics Analysis Based on Charging C-Rate
Md. Sazib Mollik1, M M Rashid2, A Rahman3, A Hasan4

1Md. Sazib Mollik*, Department of Mechatronics Engineering, International Islamic University Malaysia.
2M M Rashid, Department of Mechatronics Engineering, International Islamic University Malaysia.
3A Rahman, Department of Mechanical Engineering, International Islamic University Malaysia.
4A Hasan, Department of Mechanical Engineering, International Islamic University Malaysia.
Manuscript received on September 20, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 159-165 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1098109119/2019©BEIESP | DOI: 10.35940/ijeat.A1098.109119
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Developing fast charging proprieties for LiFePo4 battery is a key issue for a wider deployment of EV. The main drawback of LiFePo4 battery charging is overcharge, overcurrent and high temperature which affects longevity, efficiency, and battery life cycle. In this research, lithium iron phosphate (LiFePo4) battery is investigated for fast, and rapid charging with CC-CV principle. MATLAB Simulink based custom-designed tool was developed. A dynamic model of lithium-ion phosphate battery is proposed in this research by considering the significant temperature and capacity fading effects. Results have shown that the LiFePo4 battery can be used for fast charging up to 100% and rapid charging up to 85% by maintaining the condition for lifespan of the battery and to shorten the charging time. The simulation results have been showed that, the constructed model can really represent the dynamic performance feature of the lithium-ion battery. The modified model can assess the efficiency of battery execution based on charging C-rate conditions.
Keywords: Lithium-ion battery, Battery model, SOC, Temperature and Simulation.