Battery Degradation Datasets (Two Types of Lithium-ion Batteries)
This degradation dataset covers two types of lithium-ion batteries, PANASONIC NCR18650BD (3.03 Ah nominal capacity, 3 cells) and GOTION IFP20100140A (27 Ah nominal capacity, 3 cells), named as Dataset #3 and Dataset #5, respectively. Batteries from datasets #3 and #5 are tested in thermal chambers a...
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Sprache: | eng |
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Zusammenfassung: | This degradation dataset covers two types of lithium-ion batteries, PANASONIC NCR18650BD (3.03 Ah nominal capacity, 3 cells) and GOTION IFP20100140A (27 Ah nominal capacity, 3 cells), named as Dataset #3 and Dataset #5, respectively.
Batteries from datasets #3 and #5 are tested in thermal chambers at 20°C and 45°C, respectively. An ARBIN BT2000 battery test system is employed to cycle the batteries. In each cycle of the battery from Dataset #3, the charge strategy is to charge at a constant current rate of 0.3C until the voltage reaches 4.2V and then hold at 4.2V until the charging current drops below 0.03A; the discharge strategy is to discharge at a constant current rate of 2C. In each cycle of the battery from Dataset #5, the charge strategy is to charge at a constant current rate of 1C until the voltage reaches 3.65V and then hold at 3.65V until the charging current drops below 1.35A; the discharge strategy is to discharge at a constant current rate of 1C. The charging curves extracted from the constant-current charging phase of the cycles are integrated into the datasets.
This supports the Data availability of "Deep learning to estimate lithium-ion battery state of health without additional degradation experiments". |
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DOI: | 10.17632/v8k6bsr6tf.1 |