Battery Thermal Management: An Application to Petrol Hybrid Electric Vehicles

Raja Mazuir Raja Ahsan Shah (), Mansour Al Qubeissi, Hazem Youssef and Hakan Serhad Soyhan
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Raja Mazuir Raja Ahsan Shah: College of Engineering Technology, University of Doha for Science and Technology, Doha 24449, Qatar
Mansour Al Qubeissi: School of Mechanical Engineering, Coventry University, Coventry CV1 2JH, UK
Hazem Youssef: School of Mechanical Engineering, Coventry University, Coventry CV1 2JH, UK
Hakan Serhad Soyhan: Department of Mechanical Engineering, Esentepe Campus, Sakarya University, Sakarya 54050, Turkey

Sustainability, 2023, vol. 15, issue 7, 1-19

Abstract: Battery thermal management systems (BTMS) in hybrid electric vehicles can be complex and heavy. They tend to increase energy consumption, leading to higher carbon dioxide emissions. In this study, a new approach was investigated for the potential use of four fuel components as coolants for direct liquid-cooled (LC)-BTMS, N-Pentane, N-Hexane, N-Butane, and Cyclo-Pentane. The performance of the fuel components was numerically analysed and CFD modelled using ANSYS Fluent software. Several meshing iterations of the lithium-ion battery (LIB) module were performed to conduct mesh independence check for higher accuracy and less computational time. The LIB module was simulated, in comparison to a free air convection (FAC)-BTMS as a benchmark, at three discharge rates (1C, 1.5C, 2C) for each of the inlet velocity values (0.1, 0.5, 1 m/s). Results show that FAC-BTMS exceeded the LIB module optimal operating temperature range (293–313 K) at 2C. On average, at the worst condition (lowest inlet velocity and highest discharge rate), all fuel components of the LC-BTMS were able to maintain the LIB module temperature below 288 K. That is at least 4.7% cooler compared to FAC-BTMS, which renders the new approach viable alternative to the conventional BTMS.

Keywords: lithium-ion battery; battery cooling; fuel; HEV; energy management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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