Battery Thermal Network Estimation for Internal Temperature Accuracy
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Solution Overview
Problem
Current battery thermal management systems struggle to accurately estimate the internal temperature of batteries in real-time, especially in high-power applications, due to non-uniform heat generation and dissipation within the battery, and the inability to measure internal temperatures directly.
Innovation Solution
A method involving off-line testing data acquisition, construction of an equivalent thermal network model, and determination of optimal model parameters using a multi-objective function fitting method, allowing for real-time estimation of battery internal temperatures based on initial state vector values and operating data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a battery heat transfer model equates the battery surface to one temperature point, then the model complexity is reduced, but the temperature measurement accuracy deteriorates due to non-uniform temperature distribution across the battery surface
Solution Approach 1:
The battery surface is segmented into multiple temperature measurement points rather than using a single point. The patent divides the battery surface into several regions (e.g., top, bottom, side surfaces) with dedicated temperature sensors at each segment, allowing the model to capture non-uniform temperature distribution while maintaining manageable complexity through modular temperature acquisition
Solution Approach 2:
Different regions of the battery surface are assigned different temperature measurement characteristics based on their local thermal properties. The patent applies local quality by recognizing that heat generation and dissipation vary at different battery locations, and thus temperature measurements should reflect these local variations rather than assuming uniformity across the entire surface
2Measurement precision
If electrochemical impedance spectroscopy is used to estimate internal battery temperature, then temperature estimation accuracy is improved, but the test system requirements and operational complexity increase significantly
Solution Approach 1:
The patent uses surface temperature measurements as an intermediary to infer internal battery temperature. Instead of directly measuring internal temperature through complex electrochemical impedance spectroscopy, the system measures easily accessible surface temperatures and uses thermal conduction models to estimate the internal temperature, thereby reducing test system complexity while maintaining reasonable accuracy
Solution Approach 2:
The patent replaces the complex electrochemical measurement system with a simpler thermal conduction-based estimation system. By substituting electrochemical impedance spectroscopy with thermal diffusion models that use surface temperature data, the system achieves internal temperature estimation with significantly reduced operational and equipment complexity
3Ease of operation
If functional relationship methods are used to estimate internal temperature from surface temperature, then the ease of operation is improved, but the accuracy deteriorates under complex operating conditions
Solution Approach 1:
The patent employs dynamic thermal conduction models that adapt to varying operating conditions rather than static functional relationships. The model dynamically adjusts thermal parameters based on real-time battery state (charge/discharge rate, ambient temperature, SOC) to maintain accuracy across complex operating conditions while preserving the ease of operation through automated calculations
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
This approach enables accurate real-time estimation of battery internal temperatures, optimizing operating conditions and enhancing battery safety by reducing temperature-related errors and improving thermal management.
Implementation Method 1
construction of an equivalent thermal network model, and determination of optimal model parameters using a multi-objective function fitting method, allowing for real-time estimation of battery internal temperatures
Data Source
AI summary
A battery internal temperature information processing method, a computer device, and a storage medium that first acquire off-line testing data for off-line testing a battery module and construct an equivalent thermal network model from the off-line testing data, determine optimal model parameters of the equivalent thermal network model based on a multi-objective function fitting method; thereafter, a first battery internal temperature estimate of the battery of the vehicle at a first moment in actual operation of the vehicle is determined, in turn, based on the acquired initial state vector values of the battery of the vehicle, first operational data at a first moment in actual operation of the vehicle, and an equivalent thermal network model including the optimal model parameters.