Battery Cooling Simulation Using Simplified Thermal Equations
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Solution Overview
Problem
Current methods for predicting the thermal response of battery cells and designing battery cooling systems are complex and require high-performance computers, making them time-consuming and inefficient.
Innovation Solution
A battery cooling system simulation device and method that uses simplified equations to predict the thermal response of battery cells and calculate design parameters by treating flow channels as parallel plate geometry, allowing for efficient prediction and design of cooling systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional CFD simulation methods are used to predict battery cell temperature, then measurement precision is improved, but device complexity and computation time increase significantly
Solution Approach 1:
The patent transforms the complex partial differential equations of heat transfer into simplified algebraic equations by introducing dimensionless parameters (Fourier number, Biot number, Nusselt number) and using empirical correlations. This parameter transformation approach maintains temperature prediction accuracy while dramatically reducing computational complexity and simulation time.
Solution Approach 2:
The patent creates a simplified mathematical model that copies the essential thermal behavior of the battery cooling system without replicating the full computational fluid dynamics complexity. By using analogous simplified equations with equivalent predictive capability, the system achieves the same engineering purpose with reduced computational resources.
2Measurement precision
If traditional CFD simulation methods are used to predict battery cell temperature, then measurement precision is improved, but loss of time increases significantly
Solution Approach 1:
The patent transforms the complex partial differential equations of heat transfer into simplified algebraic equations by introducing dimensionless parameters (Fourier number, Biot number, Nusselt number) and using empirical correlations. This parameter transformation approach maintains temperature prediction accuracy while dramatically reducing computational complexity and simulation time.
Solution Approach 2:
The patent pre-establishes empirical correlations and dimensionless parameter relationships that can be directly applied to predict temperature without performing full CFD simulations. By preparing these simplified models in advance with pre-determined coefficients and relationships, the system achieves rapid temperature prediction during actual design and analysis phases.
3Productivity
If simplified equations are used to predict thermal response, then productivity is improved, but measurement precision may deteriorate
Solution Approach 1:
The patent transforms the complex partial differential equations of heat transfer into simplified algebraic equations by introducing dimensionless parameters (Fourier number, Biot number, Nusselt number) and using empirical correlations. This parameter transformation approach maintains temperature prediction accuracy while dramatically reducing computational complexity and simulation time.
Solution Approach 2:
The patent incorporates iterative calculation steps that use predicted temperature values to refine heat generation rates and thermal properties. This feedback mechanism allows the simplified model to self-correct and converge toward accurate temperature predictions, maintaining precision while benefiting from the speed of simplified equations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the prediction of thermal response and design of battery cooling systems through simple equations, reducing computational complexity and time, while ensuring optimal temperature management for battery cells.
Implementation Method 1
cooling air coming in through an inlet goes through a at least one flow channel... to cool the battery unit
Data Source
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AI summary
Disclosed are a battery cooling system simulation device and method, which predict the thermal reaction of a battery cell through a simulation or derive, through the simulation, a design parameter satisfying a targeted thermal reaction of the battery cell.