摘要:
There are provided a battery charging method. The method includes (a) obtaining voltage capacity ratios for a reference charge C-rate and N (N is an integer of 1 or more) charge C-rates which are larger than the reference charge C-rate, the voltage capacity ratio being defined as a ratio of a voltage variance to a capacity variance depending on a change in SOC (state of charge) of a battery when the battery is charged with each of the C-rates, (b) comparing the voltage capacity ratio of the reference charge C-rate with each of the voltage capacity ratios of the N charge C-rates, and then setting a charge C-rate among the N charge C-rates so that a difference in voltage capacity ratio is minimized for each of SOC sections, and (c) charging the battery with the charge C-rate that is set for each of the SOC sections.
摘要:
A battery management apparatus (1) includes a sensing unit (20), a calculation unit (36), and a determination unit (38). The sensing unit (20) detects temperature and current of at least one battery cell (C) of a plurality of battery cells in a battery (10). The calculation unit (36) calculates a first degradation capacity (Qd) based on the detected temperature of the at least one battery cell at every unit time while the vehicle is being driven, and calculates a second degradation capacity (Qp) using the detected temperature and a state of charge (SOC) of the at least one battery cell (C) at every unit time while the vehicle is parked. The determination unit (38) determines a replacement time of the battery (10) by selecting one of the battery cells (C) which has a largest sum of the first and second degradation capacities (Qd, Qp), and then calculates a state of health (SOH) of the battery (10) depending on the first and second degradation capacities (Qd, Qp) of the selected one of the battery cells (C).
摘要:
There are provided a battery charging method. The method includes (a) obtaining voltage capacity ratios for a reference charge C-rate and N (N is an integer of 1 or more) charge C-rates which are larger than the reference charge C-rate, the voltage capacity ratio being defined as a ratio of a voltage variance to a capacity variance depending on a change in SOC (state of charge) of a battery when the battery is charged with each of the C-rates, (b) comparing the voltage capacity ratio of the reference charge C-rate with each of the voltage capacity ratios of the N charge C-rates, and then setting a charge C-rate among the N charge C-rates so that a difference in voltage capacity ratio is minimized for each of SOC sections, and (c) charging the battery with the charge C-rate that is set for each of the SOC sections.
摘要:
A device for estimating battery life of a secondary battery comprises a data input unit for receiving first battery life test data and second battery life test data for a secondary battery, the second battery life test data being determined under conditions that accelerate deterioration of the battery compared to conditions under which the first battery life test data is obtained, a data processing unit for calculating an acceleration factor from the first and second battery life test data and for estimating the life of the battery from the second battery life test data and the acceleration factor.
摘要:
A solid oxide fuel cell comprises a housing (100,200,300,300a) and a plurality of cells within the housing (100,200,300,300a). The housing (100,200,300,300a) comprises an inlet (114,214) to allow fluid to flow into the housing (100,200,300,300a), an outlet (116,216) to allow fluid to flow out of the housing (100,200,300,300a) and flow path extending means (120,220) adjacent to the inlet (114,214), the flow path extending means (120,220) being configured so that fluid flowing into the housing (100,200,300,300a) through the inlet (114,214) flows in a zigzag shape or a meandering shape through the flow path extending means (120,220). The cells within the housing (100,200,300,300a) are positioned to receive a uniform flow of fluid from the flow path extending means (120,220).
摘要:
A battery management apparatus (1) includes a sensing unit (20), a calculation unit (36), and a determination unit (38). The sensing unit (20) detects temperature and current of at least one battery cell (C) of a plurality of battery cells in a battery (10). The calculation unit (36) calculates a first degradation capacity (Qd) based on the detected temperature of the at least one battery cell at every unit time while the vehicle is being driven, and calculates a second degradation capacity (Qp) using the detected temperature and a state of charge (SOC) of the at least one battery cell (C) at every unit time while the vehicle is parked. The determination unit (38) determines a replacement time of the battery (10) by selecting one of the battery cells (C) which has a largest sum of the first and second degradation capacities (Qd, Qp), and then calculates a state of health (SOH) of the battery (10) depending on the first and second degradation capacities (Qd, Qp) of the selected one of the battery cells (C).
摘要:
A rechargeable battery includes an electrode assembly to charge and discharge current, a case accommodating the electrode assembly, a cap plate coupled the case, electrode terminals on the cap plate, the electrode terminals being electrically connected to the electrode assembly, and a thermal pad between a bottom of the case and the electrode assembly.
摘要:
The present invention provides a system for predicting the lifetime of a battery. In one embodiment, the battery lifetime prediction system comprises a learning data input unit adapted to receive as learning data battery factors comprising at least one design factor and/or at least one formation factor and/or at least one process factor of a battery cell targeted for learning, and additionally at least one measurement factor representing a lifetime of the learning battery cell targeting for learning. Further it comprises a target data input unit adapted to receive as target data a corresponding at least one battery factor associated with a prediction battery cell targeted for lifetime prediction and a machine learning unit, adapted to assign weights to the battery factors inputted into the data input unit by performing machine learning on the learning data. Moreover the battery lifetime prediction system comprises a life time prediction unit, adapted to combine the target data of the prediction battery cell with the weights of the machine learning unit resulting in lifetime data indicating a lifetime of the prediction battery cell.