Adaptive Battery Modeling for Low-Load Performance Evaluation
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Solution Overview
Problem
The existing methods for evaluating secondary battery performance require excessive arithmetic processing load, limiting their application scope, especially in devices with on-board battery performance evaluation for installed secondary batteries.
Innovation Solution
A battery performance evaluation device that determines different battery models based on designated conditions, using either a full model with multiple parameters or a simplified model with fewer parameters, reducing the arithmetic processing load by selecting between first and second battery models depending on satisfied conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a battery model with many model parameters is used to evaluate secondary battery performance, then the evaluation accuracy is improved, but the arithmetic processing load becomes excessive
Solution Approach 1:
The patent applies dynamics by making the battery model adaptable and changeable based on operating conditions. The system dynamically selects between a first battery model (with more parameters for higher accuracy) and a second battery model (with fewer parameters for lower processing load) depending on whether a designated condition is satisfied. This dynamic model selection resolves the contradiction by adjusting the model complexity according to actual evaluation needs, achieving both accuracy and efficiency.
Solution Approach 2:
The patent changes the parameters of the battery model based on satisfied conditions. When the designated condition is not satisfied, a first battery model with a plurality of first model parameters is used for high-accuracy evaluation. When the condition is satisfied, a second battery model with fewer second model parameters is used to reduce arithmetic processing load. This parameter change strategy allows the system to adapt between accuracy and computational efficiency.
2Measurement precision
If a battery model with many model parameters is used, then the evaluation precision is improved, but the device complexity increases
Solution Approach 1:
The system dynamically adjusts model complexity based on whether a designated condition is satisfied. Instead of always using a complex first battery model with many parameters, the system switches to a simpler second battery model with fewer parameters when conditions allow, thereby reducing device complexity while maintaining evaluation precision when needed.
Solution Approach 2:
The patent changes the number and type of model parameters based on satisfied conditions. The first battery model uses a plurality of first model parameters for high precision, while the second battery model uses fewer second model parameters to simplify the model structure. This parameter adaptation resolves the contradiction between precision and complexity.
3Power
If a simplified battery model with fewer parameters is used, then the arithmetic processing load is reduced, but the evaluation accuracy deteriorates
Solution Approach 1:
The system dynamically selects the appropriate model based on whether a designated condition is satisfied. When the condition is not satisfied and high accuracy is needed, the first battery model with more parameters is used. When the condition is satisfied and processing efficiency is prioritized, the second battery model with fewer parameters is selected. This dynamic selection resolves the contradiction between processing load and accuracy.
Solution Approach 2:
The patent changes model parameters based on operational conditions. The system uses the first battery model with a plurality of first model parameters when high accuracy is required, and switches to the second battery model with fewer second model parameters when processing efficiency is more important. This conditional parameter change resolves the accuracy-load tradeoff.
4Device complexity
If a simplified battery model with fewer parameters is used, then the device complexity is reduced, but the evaluation precision deteriorates
Solution Approach 1:
The system dynamically adapts model complexity based on whether a designated condition is satisfied. Instead of using a fixed simplified model that always has low complexity but potentially reduced accuracy, the system switches between the first battery model (higher precision, higher complexity) and the second battery model (lower precision, lower complexity) according to actual needs, resolving the contradiction between complexity and precision.
Solution Approach 2:
The patent changes the number of model parameters based on satisfied conditions. When high precision is needed, the first battery model with more parameters is used despite increased complexity. When the designated condition is satisfied, the second battery model with fewer parameters is used to reduce complexity. This conditional parameter adjustment resolves the contradiction.
Data Source
AI summary
A device and method are capable of evaluating the performance of a secondary battery while reducing the arithmetic processing load required for identifying the values of model parameters defining a model used for evaluating the performance of the secondary battery. According to whether a designated condition is satisfied or not, a different battery model is determined as a battery model used for evaluating the performance of a target secondary battery. Specifically, when a designated condition is satisfied, a second battery model is determined which is defined by a smaller number of second model parameters than a plurality of first model parameters and is therefore a simpler battery model than a first battery model defined by the plurality of first model parameters, which is a battery model determined in the case where a designated condition is not satisfied.