Battery Thermal Management via Predictive Resistance-Based Control
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Solution Overview
Problem
Current thermal management systems for batteries are not fast or efficient enough to proactively control temperature, leading to potential overheating and reduced battery lifespan, especially in high-voltage applications like automotive batteries.
Innovation Solution
A method and device that measure current temperature and resistance, calculate predictive temperature increases based on current and resistance, and manage temperature proactively using cooling or heating units to maintain optimal conditions within defined target ranges, leveraging real-time resistance values and State of Charge/Health data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional thermal management systems are used to manage battery temperature, then the battery temperature can be controlled, but the response speed is slow and the thermal control efficiency is insufficient
Solution Approach 1:
The system calculates predictive temperature increase based on current battery parameters (current, resistance, state of charge, state of health) before the temperature actually rises. This allows the thermal management system to take preventive action in advance, cooling the battery before overheating occurs, rather than reacting after temperature problems arise. This preliminary action significantly improves response speed and thermal control efficiency.
Solution Approach 2:
The system continuously monitors battery parameters including current, resistance, temperature, state of charge, and state of health. It uses this feedback to dynamically adjust thermal management strategies, calculating predictive temperature increases and adjusting cooling/heating actions accordingly. This closed-loop feedback mechanism ensures optimal thermal control while improving response speed.
2Power
If the battery operates at high temperature, then the power output may be increased, but the battery ageing accelerates and lifetime is shortened
Solution Approach 1:
The system predicts temperature increases based on current operating conditions (current, resistance, state of charge) before high temperature damage occurs. By taking preventive cooling action in advance, the system allows the battery to operate at high power levels temporarily while ensuring temperature is brought back to safe ranges before thermal damage can occur, thus extending battery lifetime without significantly compromising power output.
Solution Approach 2:
The system dynamically adjusts thermal management parameters based on real-time battery state (state of charge, state of health, resistance). It modifies cooling/heating strategies according to these parameter changes, allowing optimal power output at different states while preventing temperature-induced aging. The predictive temperature calculation adapts to changing battery parameters to maintain the balance between power and lifetime.
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 faster and more efficient thermal management, preventing overheating, extending battery life, and maintaining performance by acting on predicted temperature changes before they occur, thus optimizing the battery's operational window.
Implementation Method 1
cooling the battery if the sum of the actual battery temperature and the predictive temperature increase is higher than a first target temperature
Implementation Method 2
heating the battery, if the sum of the actual battery temperature and the predictive temperature increase is lower than a third target temperature
Implementation Method 3
The increase or decrease of the temperature in a battery depends on the current that is drawn from the battery and the resistance of the battery
Data Source
Figure 1~2
Figure 3
AI summary
The present invention relates to method performed in a thermal management device (1) for proactive managing the temperature of a battery (40) connected to an electronic device (2), the method comprising: obtaining (S1) a measurement of the current temperature (Ta) of the battery (40), obtaining (S2) a value of a battery current (I) of the battery (40), determining (S3) a value of the resistance (R) of the battery (40), determining (S4) a predictive temperature increase (Tdc) of the battery (40) at least based on the obtained value of the battery current (I) and the determined value of the resistance (R), and managing (S5) the temperature (T) of the battery (40) at least based on the current temperature (Ta) of the battery and the predictive temperature increase (Tdc) of the battery (40).