Abstract: A rechargeable lithium battery includes a compound represented by Chemical Formula 1: In Chemical Formula 1, each of k, l, and m is independently an integer of 0 to 20, n is an integer of 1 to 7, and k, l and m are selected such that the compound of Chemical Formula 1 has an asymmetrical structure. The compound of Chemical Formula 1 may be included in the positive electrode, the negative electrode, or the electrolyte of the rechargeable lithium battery.

Abstract: A battery charging method, including obtaining a voltage capacity ratio for a reference charge C-rate and voltage capacity ratios for N (N an integer of 1 or more) charge C-rates greater than the reference charge C-rate, each of the voltage capacity ratios for the reference charge C-rate and the N charge C-rates being defined as a ratio of a voltage variance to a capacity variance depending on a change in state of charge (SOC) of a battery when the battery is charged at a corresponding one of the C-rates, 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 of the N charge C-rates so that a difference in voltage capacity ratio is minimized for each of SOC sections, and charging the battery with the charge C-rates corresponding to the SOC sections.

Abstract: An electrode for a rechargeable lithium battery includes an electrode active material and a copolymer represented by where A is selected from —O—(CFRf3—CFRf4)—, —(CFRf4—CFRf5)— and combinations thereof, each of Rf1 through Rf5 is independently selected from fluorine, C1-C4 alkyls and C1-C4 fluorinated alkyls, and each of x and y is an integer ranging from 1 to 100,000.

Abstract: A system for predicting the thickness of a battery is disclosed. In one aspect, the battery thickness predicting system includes a learning data input unit for receiving data on a previously manufactured battery. The thickness predicting system further includes an object data input unit for receiving data on a battery whose thickness is to be predicted. The system further comprises a mechanical learning unit connected to the learning data input unit to obtain a predicting function based on learning factors input to the learning data input unit and to provide weight values to the learning factors, respectively. The system further includes a thickness predicting unit connected to the object data input unit and the mechanical learning unit and using the weight values provided by the mechanical learning unit in order to predict the thickness of the battery whose thickness is to be predicted.

Abstract: Embodiments of the present invention provide an accelerated lifetime estimation device for predicting the lifetime of a secondary battery, and a method thereof. The accelerated lifetime estimation device can accurately estimate a normal lifetime of the secondary battery while reducing an evaluation time period of the secondary battery.

Abstract: A system for predicting a lifetime of a battery cell, including a learning data input unit, the learning data input unit being configured to receive at least one learning measurement factor and at least one learning factor, a target data input unit, the target data input unit being configured to receive at least one target factor, a machine learning unit, the machine learning unit being coupled to the learning data input unit, the machine learning unit assigning weights to respective ones of the learning factors input to the learning data input unit, and a lifetime prediction unit, the lifetime prediction unit being coupled to the target data input unit and the machine learning unit, the lifetime prediction unit using the weights assigned by the machine learning unit to predict one or more characteristics indicative of the lifetime of the target battery cell.

Abstract: A battery charging method, including obtaining a voltage capacity ratio for a reference charge C-rate and voltage capacity ratios for N (N an integer of 1 or more) charge C-rates greater than the reference charge C-rate, each of the voltage capacity ratios for the reference charge C-rate and the N charge C-rates being defined as a ratio of a voltage variance to a capacity variance depending on a change in state of charge (SOC) of a battery when the battery is charged at a corresponding one of the C-rates, 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 of the N charge C-rates so that a difference in voltage capacity ratio is minimized for each of SOC sections, and charging the battery with the charge C-rates corresponding to the SOC sections.

Abstract: A battery management apparatus includes a sensor, a calculator, and a processor. The sensor detects temperature and current of at least one battery cell of a plurality of battery cells in the battery. The calculator calculates a first degradation capacity 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 using the detected temperature and a state of charge of the at least one battery cell at every unit time while the vehicle is parked. The processor determines a replacement time of the battery by selecting one of the battery cells which has a largest sum of the first and second degradation capacities, and then calculates a state of health of the battery depending on the first and second degradation capacities of the selected one of the battery cells.

Abstract: A battery management apparatus to manage a battery in a vehicle includes a temperature detector that detects a temperature of the battery, a current detector that detects a current of the battery, a calculation unit that calculates a first degradation capacity using the detected temperature of the battery at every unit time while the vehicle is driven and that calculates a second degradation capacity using the detected temperature and state of charge (SOC) of the battery at every unit time while the vehicle is parked, and a determination unit that calculates a state of health (SOH) of the battery using the first and second degradation capacities so as to determine a replacement time of the battery according to the calculated SOH.

Abstract: 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.

Abstract: An electrode assembly comprises a first electrode including a first electrode current collector and a first electrode active material layer, a second electrode including a second electrode current collector and a second electrode active material layer, a separator disposed between the first electrode and the second electrode, and an electrode absorbing member in contact with the first electrode.

Abstract: A secondary battery includes a battery unit that has an accommodation space for an electrode assembly, a vent housing that defines a housing space connected with the accommodation space through a first vent hole, the vent housing including a second vent hole through which the housing space is connected with an outside of the secondary battery, a revolving member that is rotatably mounted between a closing position for closing the first and second vent holes and an opening position for opening the first and second vent holes, and first and second sealing caps that are formed at opposite sides of the revolving member with respect to a rotation axis of the revolving member. The first and second sealing caps respectively close the first and second vent holes, when the revolving member is mounted at the closing position.

Abstract: A system for predicting the thickness of a battery is disclosed. In one aspect, the battery thickness predicting system includes a learning data input unit for receiving data on a previously manufactured battery. The thickness predicting system further includes an object data input unit for receiving data on a battery whose thickness is to be predicted. The system further comprises a mechanical learning unit connected to the learning data input unit to obtain a predicting function based on learning factors input to the learning data input unit and to provide weight values to the learning factors, respectively. The system further includes a thickness predicting unit connected to the object data input unit and the mechanical learning unit and using the weight values provided by the mechanical learning unit in order to predict the thickness of the battery whose thickness is to be predicted.

Abstract: A rechargeable lithium battery includes a compound represented by Chemical Formula 1: In Chemical Formula 1, each of k, l, and m is independently an integer of 0 to 20, n is an integer of 1 to 7, and k, l and m are selected such that the compound of Chemical Formula 1 has an asymmetrical structure. The compound of Chemical Formula 1 may be included in the positive electrode, the negative electrode, or the electrolyte of the rechargeable lithium battery.

Abstract: A system for predicting a lifetime of a battery cell, including a learning data input unit, the learning data input unit being configured to receive at least one learning measurement factor and at least one learning factor, a target data input unit, the target data input unit being configured to receive at least one target factor, a machine learning unit, the machine learning unit being coupled to the learning data input unit, the machine learning unit assigning weights to respective ones of the learning factors input to the learning data input unit, and a lifetime prediction unit, the lifetime prediction unit being coupled to the target data input unit and the machine learning unit, the lifetime prediction unit using the weights assigned by the machine learning unit to predict one or more characteristics indicative of the lifetime of the target battery cell.

Abstract: Embodiments of the present invention provide an accelerated lifetime estimation device for predicting the lifetime of a secondary battery, and a method thereof. The accelerated lifetime estimation device can accurately estimate a normal lifetime of the secondary battery while reducing an evaluation time period of the secondary battery.

Abstract: A secondary battery includes a battery unit that has an accommodation space for an electrode assembly, a vent housing that defines a housing space connected with the accommodation space through a first vent hole, the vent housing including a second vent hole through which the housing space is connected with an outside of the secondary battery, a revolving member that is rotatably mounted between a closing position for closing the first and second vent holes and an opening position for opening the first and second vent holes, and first and second sealing caps that are formed at opposite sides of the revolving member with respect to a rotation axis of the revolving member. The first and second sealing caps respectively close the first and second vent holes, when the revolving member is mounted at the closing position.

Abstract: An electrode for a rechargeable lithium battery includes an electrode active material and a copolymer represented by where A is selected from —O—(CFRf3—CFRf4)—, —(CFRf4—CFRf5)— and combinations thereof, each of Rf1 through Rf5 is independently selected from fluorine, C1-C4 alkyls and C1-C4 fluorinated alkyls, and each of x and y is an integer ranging from 1 to 100,000.

Abstract: An electrode assembly comprises a first electrode including a first electrode current collector and a first electrode active material layer, a second electrode including a second electrode current collector and a second electrode active material layer, a separator disposed between the first electrode and the second electrode, and an electrode absorbing member in contact with the first electrode.

Abstract: A housing for a solid oxide fuel cell, the housing including a plurality of side walls defining a cavity; a first opening in one of the plurality of side walls, the first opening being configured to allow fluid to enter into the cavity; a second opening in one of the plurality of side walls, the second opening being configured to allow the fluid to exit from the cavity; and a flow path extending unit between the first opening and the second opening to increase a length of a flow path between the first opening and the second opening.