Shenzhen Hynn Technologies Co., Ltd.

Guangdong Hynn Technologies Co., Ltd.

Shoumo Wang

Shaohua Zhao

Shicheng Wei

Jinhui Liu

Junhui Zhou

Disclosed is a method for reconstructing complete charging-discharging data based on partial charging-discharging data of a battery. The method includes following steps: obtaining a partial charging-discharging measured data curve, including multiple pieces of discrete sampling-point data, of the battery; determining a starting point, relative to a preset global center reference data curve, of the partial charging-discharging measured data curve; and determining an approximation curve by means of linear reconstruction or least square reconstruction, and supplementing a charging-discharging measured data curve of a remaining part other than the partial charging-discharging measured data curve according to the approximation curve and the starting point, relative to the preset global center reference data curve, of the partial charging-discharging measured data curve, to reconstruct a complete charging-discharging measured data curve. In the method, the complete charging-discharging data curve can be reconstructed with high precision by using the partial charging-discharging measured data.

Method and system for reconstructing complete charging-discharging data based on partial charging-discharging data of battery

This application has disclosed a method, a non-transitory storage medium and a battery grading apparatus for automatically grading a lithium-ion battery. The method comprises: 1) preprocessing a cell of the lithium-ion battery with formation and grading, obtaining measured current and/or voltage data of charging/discharging during the process of formation and grading, and preprocessing the obtained current and/or voltage data; 2) plotting the preprocessed data into a measurement curve, matching it with a pre-stored standard reference curve for charging and discharging, and calculating a linear distance, a square of the linear distance and a first order differential distance between the measurement curve and the standard reference curve; calculating weighted distances and weighted summation distances for the calculated linear distance, square of the linear distance and first order differential distance respectively; and comparing and matching the weighted summation distances with a preset threshold range for each grading level and outputting a matching outcome.

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Guangdong, China

Shoumo Wang