Battery Pack Energy Capacity Diagnosis With Abnormal Data Recheck
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Solution Overview
Problem
Existing battery pack diagnosis methods suffer from inaccuracies in calculating energy capacity due to errors in input data such as current, temperature, and voltage, and lack a mechanism to handle abnormal data conditions.
Innovation Solution
A method involving obtaining detection data, calculating open circuit voltage and resistance functions, creating resistance tables, and recalculating energy capacity by identifying and removing abnormal values to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data such as current, temperature, and voltage are used to calculate energy capacity, then energy capacity can be determined, but large errors in input data cause large errors in the diagnosed energy capacity
Solution Approach 1:
The patent performs preliminary diagnosis of input data (current, temperature, voltage) before using them in energy capacity calculations. By checking whether input data falls within expected ranges and patterns before calculation, the system prevents erroneous data from compromising the final energy capacity result, thus resolving the contradiction between obtaining energy capacity values and ensuring calculation accuracy.
2Reliability
If a method for coping with abnormal data is not implemented, then the calculation process is simple, but there is no protection against large errors in input data affecting energy capacity diagnosis
Solution Approach 1:
The patent implements preliminary validation and diagnosis of input data before energy capacity calculation. This preliminary action checks for abnormality in current, temperature, and voltage data, and only uses validated data in calculations, thereby protecting against errors while adding controlled complexity to ensure reliability.
Solution Approach 2:
The patent incorporates feedback mechanisms where the diagnosed energy capacity results are used to validate whether the input data was appropriate. If the calculated energy capacity shows abnormal patterns or deviations from expected ranges, the system feeds this information back to re-examine the input data, creating a closed-loop verification process that enhances reliability without excessive complexity.
Data Source
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AI summary
The invention provides a battery pack diagnosis method that improves calculation accuracy of an energy capacity of a battery pack. The battery pack diagnosis method includes a step of obtaining detection data including a current and a temperature of a battery pack having a configuration in which a plurality of cells are connected in series and a voltage of each of the cells, a step of obtaining function data of an open circuit voltage and a resistance which are functions of a charging state of each of the cells, a step of creating a resistance table of each of the cells using the function data and the detection data, a step of calculating the charging state of each of the cells using the current, the temperature, and the voltage of each of the cells, a step of calculating a charge capacity of each of the cells, the resistance, and a charging state per cell, a step of calculating an energy capacity of the battery pack using the charge capacity, the charging state per cell, and the resistance, a step of diagnosing a value of the calculated energy capacity of the battery pack, and a step of deleting a value of the energy capacity determined to be an abnormality by the diagnosis and recalculating the energy capacity of the battery pack.