Immersion Cooling System for EV Battery Packs: Design and Simulation

In the rapidly evolving field of electric vehicles (EVs), the thermal management of lithium-ion batteries is a critical challenge that directly impacts performance, safety, and longevity. As an researcher focused on advanced cooling technologies, I have dedicated efforts to developing an immersion liquid cooling system specifically for EV battery packs. This system aims to address the limitations of current cooling media, such as fluorinated liquids, while enhancing safety and efficiency through innovative design. The core of this work revolves around a dual-loop dynamic switching mechanism that utilizes modified silicone oil for日常 cooling and rapidly switches to a fire-suppression fluid during thermal runaway events. Through comprehensive simulation analysis, this design demonstrates superior temperature uniformity and cost-effectiveness, paving the way for scalable adoption in next-generation EV battery packs.

The widespread adoption of lithium-ion batteries in EV battery packs has necessitated robust thermal management systems. During charge-discharge cycles, electrochemical reactions generate heat, leading to temperature rise. Excessive temperatures can degrade battery efficiency, accelerate aging, and even trigger thermal runaway—a catastrophic failure mode. Traditional cooling methods include air cooling, liquid cooling, and phase-change material cooling. However, under extreme conditions, these methods often fall short. Immersion liquid cooling, where the coolant directly contacts the battery cells, has emerged as a promising solution due to its ability to maintain optimal temperature ranges and ensure excellent temperature homogeneity within the EV battery pack. Despite its potential, current immersion cooling systems predominantly rely on fluorinated liquids, which suffer from high costs, poor thermophysical properties, and environmental concerns. Alternative media like silicone oils offer better thermal performance and lower cost but pose flammability risks at high temperatures. This research tackles these issues by proposing a novel dual-loop system with modified silicone oil, validated through rigorous simulation.

The selection of an appropriate cooling medium is paramount for the success of immersion cooling in EV battery packs. Common candidates include mineral oils, silicone oils, and fluorinated liquids. Mineral oils, while electrically insulating, often have high viscosity—increasing pump power requirements—and remain flammable, raising safety concerns for EV battery packs. Fluorinated liquids, such as AC6000, are non-flammable but exhibit low thermal conductivity and specific heat capacity, limiting cooling efficiency. Moreover, their high cost and environmental persistence hinder widespread use. Modified silicone oils, like ICL-1000, present a compelling alternative with enhanced thermal properties and improved safety characteristics. A detailed comparison of key parameters is essential for informed decision-making.

Performance Metric AC6000 Fluorinated Liquid ICL-1000 Modified Silicone Oil Comparative Analysis
Flash Point (°C) Non-flammable ≥320 Fluorinated liquids have no flash point, but modified silicone oil achieves an ultra-high flash point through formulation, significantly reducing flammability risks in EV battery packs.
Thermal Conductivity (W/m·K) 0.06–0.07 0.15–0.18 Modified silicone oil offers over 2.5 times higher thermal conductivity, facilitating faster heat dissipation from the EV battery pack.
Specific Heat Capacity (kJ/kg·K) 1.05–1.10 1.65–1.75 The specific heat capacity of silicone oil is approximately 60% higher, enabling better thermal energy storage and slower temperature rise in the EV battery pack.
Viscosity @40°C (10-6 m²/s) 0.6–0.8 18–22 Fluorinated liquids have lower viscosity, reducing pump power; silicone oil requires optimized flow channel design to minimize pressure drops in the EV battery pack.
Dielectric Strength (kV/mm) ≥35 ≥45 Modified silicone oil provides superior electrical insulation, enhancing safety against short circuits in the EV battery pack.

Beyond thermal and safety properties, economic considerations are crucial for scaling immersion cooling in EV battery packs. The cost analysis reveals a stark contrast:

Cost Item AC6000 Solution ICL-1000 Solution
Medium Cost (per MWh) 98,000 27,000

Modified silicone oil reduces medium cost by approximately 72%, making it economically viable for mass-produced EV battery packs. However, its flash point, though high, still presents a risk if temperatures exceed safe limits. To mitigate this, I designed a dual-loop dynamic switching system that integrates冷却 and fire suppression into a single, cost-effective architecture for EV battery packs.

The primary objective of this design is to achieve three goals: enhanced safety through active fire suppression, optimized thermal management efficiency, and controlled system成本. The dual-loop system operates based on temperature thresholds, switching between modified silicone oil for normal cooling and a fire-suppression fluid (e.g., perfluorohexanone) during emergencies. This approach resolves the conflict between efficient cooling and extreme protection in EV battery packs.

The working principle of the dual-loop system is illustrated through a schematic of the immersion cooling device for EV battery packs. Under normal operating conditions, modified silicone oil circulates through flow channels in direct contact with battery cells, leveraging convective heat transfer. The heat transfer rate can be described by Newton’s law of cooling:

$$ q = h A (T_s – T_f) $$

where \( q \) is the heat flux, \( h \) is the convective heat transfer coefficient, \( A \) is the surface area, \( T_s \) is the cell surface temperature, and \( T_f \) is the coolant temperature. The use of modified silicone oil, with its higher thermal conductivity, enhances \( h \), improving cooling performance for the EV battery pack. When temperature sensors detect a cell temperature exceeding 250°C—indicating potential thermal runaway—the control system triggers valve switches. This action disconnects the silicone oil loop and connects the fire-suppression fluid loop. The fire-suppression fluid rapidly fills the cavity, displacing the silicone oil, cooling the cells, and inerting the environment to阻断 combustion. After temperatures drop below 80°C, the system switches back to silicone oil circulation, and the fire-suppression fluid is purified and recycled. This dynamic切换 ensures continuous protection for the EV battery pack without compromising日常 operation.

The structural design of the immersion-cooled EV battery pack includes an installation chassis, isolation frames, isolation plates, and sealing gaskets. The chassis features cooling grooves along its length, with inlet and outlet pipes integrated between side walls. Battery cells are mounted on isolation plates, and the entire assembly is sealed to prevent leakage. The dual-loop system shares common flow channels, reducing structural complexity and cost compared to independent fire-suppression systems. This integrated approach is pivotal for compact and efficient EV battery packs.

To validate the design, I conducted thorough simulation analyses focusing on flow field and thermal field characteristics. The flow field simulation models the internal channels of the EV battery pack using computational fluid dynamics (CFD). The governing equations include the continuity and Navier-Stokes equations:

$$ \nabla \cdot \mathbf{v} = 0 $$

$$ \rho \left( \frac{\partial \mathbf{v}}{\partial t} + \mathbf{v} \cdot \nabla \mathbf{v} \right) = -\nabla p + \mu \nabla^2 \mathbf{v} $$

where \( \mathbf{v} \) is the velocity vector, \( \rho \) is density, \( p \) is pressure, and \( \mu \) is dynamic viscosity. The coolant properties for ICL-1000 modified silicone oil are summarized below:

Medium Name ICL-1000 Modified Silicone Oil
Density (kg/m³) 860
Viscosity @40°C (10-6 m²/s) 22
Specific Heat Capacity (kJ/kg·K) 1.75
Thermal Conductivity (W/m·K) 0.18

Boundary conditions were set with an inlet flow rate of 4 L/min, resulting in a Reynolds number (Re) of 583, indicating laminar flow. The Reynolds number is calculated as:

$$ Re = \frac{\rho v D}{\mu} $$

where \( v \) is velocity and \( D \) is hydraulic diameter. The flow field simulation showed an inlet-outlet pressure drop of 3.8 kPa, with velocity contours revealing no significant flow dead zones. This confirms efficient coolant distribution within the EV battery pack.

For thermal field simulation, a coupled electro-thermal model was employed. The heat generation in lithium-ion cells during charge-discharge cycles follows an empirical relation:

$$ Q = I (V_{oc} – V) – I T \frac{dV_{oc}}{dT} $$

where \( Q \) is heat generation rate, \( I \) is current, \( V_{oc} \) is open-circuit voltage, \( V \) is terminal voltage, and \( T \) is temperature. In this study, a 0.5C charge for 2 hours (heat generation power: 11.542 W) and 0.5C discharge for 2 hours (heat generation power: 10.964 W) were simulated. The material properties for various components in the EV battery pack are listed below:

Component Material Density (kg/m³) Thermal Conductivity (W/m·K) Specific Heat Capacity (J/kg·K)
Battery Cell NCM-based 2161.9 Normal: 5.13, In-plane: 23.77 1000
Foam Rubber Polymer 60 0.034 1000
Epoxy Plate Epoxy resin 1800 0.2 550
End Plate AL6063 2702 218 900
Crossbeam AL6063 2702 218 900
Stiffener AL6063 2702 218 900
Thermal Adhesive Conductive胶 2500 1.5 1000
Cold Plate AL3003 2702 155 893
Coolant Modified Silicone Oil 860 0.18 1750

Boundary conditions included an ambient temperature of 25°C, coolant flow rates of 4 L/min and 3 L/min, and an external cooling power of 500 W (minimum inlet temperature: 20°C). The thermal simulation solved the energy equation:

$$ \rho c_p \frac{\partial T}{\partial t} = \nabla \cdot (k \nabla T) + Q $$

where \( c_p \) is specific heat capacity and \( k \) is thermal conductivity. Results indicated a maximum temperature difference of 1.814°C within the EV battery pack, well below the industry standard of 5°C for EV battery packs. Temperature contours demonstrated uniform distribution, validating the effectiveness of the immersion cooling system with modified silicone oil.

The dual-loop dynamic switching technology not only enhances safety but also optimizes cost. By sharing flow channels, the system reduces material and assembly expenses compared to traditional designs with separate cooling and fire-suppression loops. The灭火 efficiency is improved due to rapid fluid置换, which can be modeled using a first-order response:

$$ \tau \frac{dC}{dt} = C_{in} – C $$

where \( \tau \) is time constant, \( C \) is coolant concentration, and \( C_{in} \) is input concentration during switching. Simulation of the switching process showed that the fire-suppression fluid can fully displace silicone oil within seconds, effectively suppressing thermal runaway in the EV battery pack.

In conclusion, this research presents a novel immersion cooling system for EV battery packs that addresses the limitations of current cooling media. The dual-loop dynamic switching mechanism, utilizing modified silicone oil for日常 cooling and fire-suppression fluid for emergencies, ensures both高效 thermal management and enhanced safety. Simulation results confirm temperature uniformity with a maximum difference ≤1.8°C, meeting national standards for EV battery packs. The shared flow channel design reduces costs, while the rapid switching capability improves灭火 efficiency. This system provides a viable solution for the规模化 application of immersion cooling in next-generation EV battery packs, balancing performance, safety, and economics. Future work will involve experimental validation and optimization for various EV battery pack configurations under real-world driving cycles.

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