Battery Output Prediction Using Surface SOC in Dynamic States
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Solution Overview
Problem
Existing battery management systems struggle to accurately predict battery output for times not previously stored, especially in dynamic states where charging or discharging is ongoing, leading to inaccurate power provision.
Innovation Solution
A battery apparatus and method that estimates a surface state of charge (SOC) and predicts output based on first and second surface SOC, cut-off voltage, and requested time, using a processor to determine terminal voltage and current, incorporating temperature and overpotential considerations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If pre-stored maximum output power values are used for prediction, then the system complexity is reduced, but the prediction accuracy deteriorates when the battery is in dynamic states or requested times are not stored
Solution Approach 1:
The patent changes the parameter from using pre-stored output power values to using pre-stored surface SOC values combined with real-time current measurements. This allows the system to calculate predicted output power dynamically based on the relationship between surface SOC changes and current, enabling accurate predictions for any requested time without storing extensive pre-computed tables.
2Measurement precision
If real-time surface SOC estimation is performed to predict battery output, then the prediction accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent performs preliminary action by pre-storing surface SOC values corresponding to different SOC levels before operation. During runtime, the system only needs to estimate the current surface SOC based on the battery's current state and look up the corresponding pre-stored values, significantly reducing computational complexity compared to performing full real-time surface SOC estimation calculations.
Solution Approach 2:
The patent uses copying by storing pre-calculated surface SOC values in a lookup table that represents the relationship between SOC and surface potential. Instead of performing complex real-time calculations, the system copies the appropriate pre-stored surface SOC value based on the current SOC state, simplifying the prediction process while maintaining accuracy.
Data Source
AI summary
A battery apparatus estimates a surface SOC representing a potential at an electrode surface of the battery, and predicts an output of the battery during a requested time based on the first surface SOC, a cut-off voltage, and the requested time.