Battery Temperature Control for Charging Time and Lifespan
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Solution Overview
Problem
Existing battery cooling systems in electric vehicles do not effectively balance energy efficiency, battery health, and power delivery, as they maintain a fixed temperature set point without considering the impact on these factors.
Innovation Solution
A computer system determines a target operating temperature for batteries by minimizing the cumulative cost of resistance and life expectancy, taking into account discharge power, charging time, energy losses, and cooling system energy consumption, using model predictive control to optimize temperature management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed temperature set point is maintained for battery cooling, then battery health and lifespan are improved, but energy efficiency and power delivery are compromised
Solution Approach 1:
The patent implements dynamic temperature management by transitioning from a fixed temperature set point to a variable target temperature that adapts based on real-time operating conditions. The control system continuously adjusts the target temperature according to battery state of charge, ambient temperature, and thermal conditions, allowing the system to optimize between battery health protection and energy efficiency without being constrained by a static threshold
Solution Approach 2:
The system changes the temperature parameter dynamically by calculating an optimal target temperature that varies with operating conditions. Instead of maintaining a constant temperature, the system computes different target temperatures based on the cost function that incorporates resistance, life expectancy, discharge power, and charging time, allowing flexible adjustment of the temperature parameter to resolve the contradiction
2Duration of action of stationary object
If cooling is applied to maintain low battery temperature, then battery lifespan is extended, but charging time increases and power delivery decreases
Solution Approach 1:
The system dynamically adjusts the target temperature based on the battery's operational state, allowing higher temperatures during charging operations to reduce charging time, while maintaining lower temperatures during storage or idle periods to extend lifespan. The control system switches between different temperature targets depending on whether the battery is charging, discharging, or at rest
Solution Approach 2:
The system performs preliminary calculation of the optimal target temperature by evaluating the cost function that includes life expectancy costs and charging time costs before initiating charging or discharge operations. This allows the system to pre-determine the appropriate temperature target that will minimize both lifespan degradation and charging time based on predicted operating conditions
3Loss of energy
If target temperature is lowered to reduce energy losses, then resistance decreases, but battery life expectancy is reduced
Solution Approach 1:
The system optimizes the temperature parameter by calculating a target temperature that balances energy loss reduction with life expectancy preservation. The cost function incorporates both resistance-related energy losses and life expectancy costs, allowing the system to determine an optimal temperature point that neither excessively lowers temperature (which would harm lifespan) nor allows excessive heating (which would increase energy losses)
4Use of energy by moving object
If dynamic temperature optimization is implemented, then energy efficiency and power delivery are improved, but system complexity increases
Solution Approach 1:
The system implements feedback control by continuously monitoring battery temperature, state of charge, and thermal conditions, then using this feedback to adjust the target temperature calculation. The control system compares the current temperature with the calculated target and adjusts cooling power accordingly, creating a closed-loop system that automatically optimizes temperature without requiring complex external intervention
Solution Approach 2:
The system performs self-optimization by autonomously calculating and adjusting the target temperature based on its own operating conditions. The control system uses embedded algorithms to evaluate the cost function and determine optimal temperature targets without external input, allowing the battery management system to self-regulate its thermal management strategy
Data Source
AI summary
A computer system is disclosed for determining a target operating temperature for a battery, the computer system including processing circuitry configured to determine a first cost associated with a resistance of the battery, determine a second cost associated with a life expectancy of the battery, and determine a target operating temperature for the battery such that a sum of the first and second costs is below a threshold, wherein the first cost includes a third cost associated with one or more of increasing a discharge power of the battery and decreasing a charging time of the battery. A computer-implemented method for determining a target operating temperature for a battery is also disclosed.