Battery OCV Estimation Using Voltage Patterns and Temperature Correction

The patent applies preliminary action by storing multiple pre-calculated OCV patterns corresponding to different SOC levels and temperature conditions in advance. When estimation is needed, the system selects the appropriate pre-stored pattern based on current temperature and voltage conditions, then maps the measured voltage to SOC using the selected pattern. This eliminates the need for complex real-time calculations while maintaining accuracy by accounting for IR drop effects that were pre-computed into the patterns.

The patent implements feedback by continuously monitoring the battery output voltage and comparing it against the pre-stored OCV patterns. The system uses the voltage feedback to determine the current SOC level by mapping the measured voltage to the corresponding pattern, thereby correcting any drift that may have occurred from current accumulation methods. This feedback mechanism ensures long-term accuracy without accumulating errors.

The patent applies preliminary action by pre-calculating and storing OCV patterns for various SOC levels and temperature conditions before operation. During actual use, the system only needs to retrieve the appropriate pre-computed pattern and perform simple voltage mapping to determine SOC, avoiding complex real-time mathematical calculations. This dramatically reduces computation time and allows implementation on simple, low-cost hardware while maintaining high estimation accuracy.

The patent applies local quality by creating separate OCV patterns for different temperature conditions rather than using a single universal pattern. The system first determines the current temperature, then selects the OCV pattern corresponding to that specific temperature range. This localized approach accounts for temperature-dependent battery characteristics, ensuring accurate SOC estimation under varying temperature conditions while maintaining the simplicity of voltage-based measurement.