Battery Parameter Estimation Under Low Diffusivity Conditions
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Solution Overview
Problem
Existing Single Particle Models (SPM) for state of charge (SOC) estimation in batteries are inaccurate under low diffusivity conditions, leading to errors in SOC estimation, which can cause over-discharge, accelerated aging, and short circuits due to invalid profile approximations at low temperatures and initial times.
Innovation Solution
A method and electronic device that determine the diffusion length of intercalation material in a battery electrode, calculate its concentration based on specific parameters, and estimate battery parameters such as SOC, state of health, or electrochemical parameters using a processor, employing techniques like similarity variables and open circuit voltage profiles to improve accuracy in low diffusivity conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If Single Particle Models (SPM) are used for SOC estimation, then computational efficiency and speed are improved, but measurement precision deteriorates under low diffusivity conditions
Solution Approach 1:
The patent changes the mathematical parameters and governing equations of the model to account for low diffusivity conditions. By modifying the diffusion coefficient thresholds and adjusting the model equations to handle low diffusivity regimes, the system maintains both computational efficiency and accuracy across varying diffusion conditions.
Solution Approach 2:
The patent implements a dynamic model selection approach where the system transitions between different modeling approaches based on real-time diffusion conditions. When diffusivity falls below certain thresholds, the system dynamically adjusts its estimation methodology while maintaining the overall computational efficiency of the SPM framework.
2Device complexity
If profile approximations are used in SPM, then computational complexity is reduced, but measurement precision deteriorates at low temperatures and initial times
Solution Approach 1:
The patent applies different approximation qualities to different regions of the concentration profile. Instead of using a single approximation for the entire profile, the system uses more accurate representations in regions where low diffusivity effects are significant (such as near the particle surface at low temperatures) while maintaining simpler approximations in regions where they are less critical.
3Device complexity
If existing SPM is used under low diffusivity conditions, then device simplicity is maintained, but reliability deteriorates due to accumulated SOC error
Solution Approach 1:
The patent incorporates feedback mechanisms that continuously monitor the diffusion conditions and adjust the estimation algorithm accordingly. When low diffusivity conditions are detected (through temperature sensors, current measurements, and state estimates), the system activates corrected estimation routines that prevent error accumulation while maintaining overall system simplicity.
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 provides more accurate SOC estimation and prevents health and safety issues like over-discharge and short circuits by addressing the limitations of existing SPM under low diffusivity conditions, enhancing battery management systems.
Implementation Method 1
determining whether a diffusion length of an intercalation material in an electrode of a battery is lesser than a threshold, calculating a concentration of the intercalation material in the electrode based on a result of the determination
Data Source
AI summary
Methods and an electronic devices for estimating battery parameters, where the method of estimating battery parameters performed by a processor includes determining whether a diffusion length of an intercalation material in an electrode of a battery is lesser than a threshold, calculating a concentration of the intercalation material in the electrode based on a result of the determination, and estimating at least one battery parameter of the battery parameters based on the concentration of the intercalation material.