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Siddique Khateeb

Researcher at UTC Power

Publications -  10
Citations -  1072

Siddique Khateeb is an academic researcher from UTC Power. The author has contributed to research in topics: Lithium-ion battery & Electric vehicle. The author has an hindex of 7, co-authored 10 publications receiving 806 citations. Previous affiliations of Siddique Khateeb include Illinois Institute of Technology.

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Thermal management of Li-ion battery with phase change material for electric scooters: experimental validation

TL;DR: In this article, four different modes of heat dissipation were investigated: natural convection cooling, aluminum foam heat transfer matrix, phase change material (PCM), and combination of aluminum foam and PCM.
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Design and simulation of a lithium-ion battery with a phase change material thermal management system for an electric scooter

TL;DR: In this paper, a phase change material (PCM) thermal management system was designed for an electric scooter, which can control the temperature excursions and maintain temperature uniformity in Li-ion batteries without the use of active cooling components such as a fan, a blower or a pump.
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Preventing thermal runaway propagation in lithium ion battery packs using a phase change composite material: An experimental study

TL;DR: In this paper, phase change composite materials (PCC) are used to prevent thermal runaway in a Li-ion battery pack for small electric vehicles, with and without PCC, and the results show that when parallel cells short-circuit through the penetrated cell, the packs without pCC propagate fully while those equipped with PCC show no propagation.
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Experimental validation of a 0-D numerical model for phase change thermal management systems in lithium-ion batteries

TL;DR: In this article, a 0-D numerical model was developed for simulating the thermal response of a lithium-ion battery pack with a phase-change composite (PCC) thermal management system.
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Mechanical-electrochemical modeling of Li-ion battery designed for an electric scooter

TL;DR: In this paper, a macroscopic electrochemical-mechanical model was developed to predict the various power demands of an electric scooter and other outputs, such as the Li-ion battery pack current and voltage requirements for a randomly generated drive cycle using the Matlab-based Simulink software.