Year: 2025
Type: article
Abstract: The rapid proliferation of lithium-ion batteries across automotive, aerospace, and stationary storage applications has intensified the demand for robust thermal management solutions to ensure battery safety, reliability, and longevity. Lithium-ion batteries exhibit high energy density but are thermally sensitive—subject to performance degradation, accelerated aging, and thermal runaway if operating conditions deviate from the safe temperature window. This paper presents a Comprehensive study of Battery Thermal Management Strategies (BTMS) with a focus on passive, active, and hybrid cooling approaches tailored for lithium-ion battery systems. Through an integrative methodology combining literature synthesis, analytical modeling, numerical simulation, and experimental validation, the research benchmarks multiple BTMS configurations including phase change materials (PCMs), heat pipes, air/liquid cooling, and composite hybrid systems. Special emphasis is placed on evaluating thermal uniformity (ΔT), peak cell temperature (T_max), parasitic energy consumption, and system scalability. Simulation models—including lumped parameter, finite element, and enthalpy-based PCM models—were developed and verified against empirical results obtained from prototype tests under varied discharge rates (1C to 3C). Hybrid architectures combining PCM, graphite sheets, and loop heat pipes consistently outperformed other configurations, achieving T_max below 40°C and ΔT under 2°C even under stress conditions, while maintaining minimal energy overhead. The paper concludes with strategic recommendations for future work, including the adoption of intelligent BTMS control, advanced thermal materials, and scalable modular design. This work aims to guide the development of next-generation, adaptive BTMS frameworks, reinforcing the foundation for safe, efficient, and sustainable lithium-ion battery deployment in emerging energy systems.
Author: Parveen
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4412361955