Abstract: The battery management system includes a vehicle and a center. The vehicle includes an acquisition unit that acquires vehicle data, and a transmission unit that transmits the vehicle data to the center. The center includes a reception unit that receives vehicle data from the vehicle, and a determination unit that determines a state of the battery based on the vehicle data. When the vehicle is not parked, the determination unit determines that the battery is in a temporary overdischarge state, when the voltage of the battery when the vehicle is started is less than a first voltage and the integrated value of the charge and discharge amount of the battery is in a first state in which the integrated value of the charge and discharge amount of the battery is less than a first charge and discharge amount.

Abstract: A determination device includes an acquisition unit configured to acquire information on a state of a battery mounted on a vehicle, the information including information on a voltage value of the battery, and a determination unit configured to determine that the battery is deteriorated based on the information acquired by the acquisition unit, in a case where a frequency of prohibition of control of the vehicle using the battery exceeds a predetermined first threshold value and a voltage of the battery falls below a predetermined second threshold value.

Abstract: A power storage module includes an electrode laminate including a laminate of a plurality of bipolar electrodes and a negative terminal electrode disposed on one end side of the laminate in a laminating direction, a sealing body provided to surround a side surface of the electrode laminate and sealing an internal space formed between electrodes adjacent to each other, and an electrolytic solution containing an alkaline solution that is housed in the internal space, both surfaces of a metal plate of the negative terminal electrode are bonded to the sealing body, and a first surplus space surrounded by the sealing body and the metal plate of the negative terminal electrode is present.

Abstract: A model update device, including: a memory; and a processor coupled to the memory, the processor being configured to: for each of plural targets, input information, regarding a state quantity of a battery, to a learned model and acquire a degradation state for a predetermined period; and in a case in which a state, in which the input state quantity satisfies a first criterion determined relative to the state quantity and in which the degradation state satisfies a second criterion determined relative to the degradation quantity, is present at least a predetermined number of times, update the learned model using the information regarding the state quantity that was input to the learned model.

Abstract: A power storage module including: a stacked body that includes electrodes stacked along a first direction; a sealing body that includes a first sealing portion joined to an edge portion of each of the electrodes, forms an inner space between the electrodes adjacent to each other, and seals the inner space; and an electrolytic solution that is stored in the inner space and includes an alkali solution. The electrodes include bipolar electrodes, and a negative terminal electrode. The power storage module includes surplus spaces different from the inner space on a route of an alkali creep phenomenon in which the electrolytic solution reaches the outside from the inner space through the negative terminal electrode.

Abstract: A battery degradation evaluation system includes a memory and a processor. The processor is configured to acquire state quantities of a battery mounted at a vehicle, derive probabilities, and evaluate degradation of the battery based on the derivation results. The probabilities are a short-term degradation probability of the battery degrading in a pre-specified short period, a medium-term degradation probability of the battery degrading in a period that is longer than the short period, and a long-term degradation probability of the battery degrading in a period that is longer than the medium period. When a number of the state quantities is smaller, the processor sets a higher weighting for a combined degradation probability for the short period and medium period, which is calculated from the long-term degradation probability. When the number of state quantities is larger, the processor sets a higher weighting for the short-term degradation probability.

Abstract: A battery deterioration judging system includes a memory, and a processor coupled to the memory. The processor is configured to acquire a state amount of a battery, derive a first deterioration probability of the battery, based on the state amount of the battery and a predetermined first calculation model, derive a reliability degree of a second calculation model, which is different than the first calculation model, based on a number of state amounts, derive a second deterioration probability of the battery, based on the state amount of the battery and the second calculation model, and judge deterioration of the battery based on the reliability degree, and at least one of the first deterioration probability or the second deterioration probability.

Abstract: A battery degradation evaluation system includes a memory and a processor. The processor is configured to acquire state quantities of a battery mounted at a vehicle, derive probabilities, and evaluate degradation of the battery based on the derivation results. The probabilities are a short-term degradation probability of the battery degrading in a pre-specified short period, a medium-term degradation probability of the battery degrading in a period that is longer than the short period, and a long-term degradation probability of the battery degrading in a period that is longer than the medium period. When a number of the state quantities is smaller, the processor sets a higher weighting for a combined degradation probability for the short period and medium period, which is calculated from the long-term degradation probability. When the number of state quantities is larger, the processor sets a higher weighting for the short-term degradation probability.

Abstract: A battery degradation evaluation system includes a memory and a processor. The processor is configured to acquire state quantities of a battery mounted at a vehicle, derive probabilities, and evaluate degradation of the battery based on the derivation results. The probabilities are a short-term degradation probability of the battery degrading in a pre-specified short period, a medium-term degradation probability of the battery degrading in a period that is longer than the short period, and a long-term degradation probability of the battery degrading in a period that is longer than the medium period. When a number of the state quantities is smaller, the processor sets a higher weighting for a combined degradation probability for the short period and medium period, which is calculated from the long-term degradation probability. When the number of state quantities is larger, the processor sets a higher weighting for the short-term degradation probability.

Abstract: A method of estimating a deteriorated state of a battery includes steps S102 to S110. S102 is a step of obtaining a voltage and a current of the battery a plurality of times for a data acquisition period. S104 is a step of calculating an amount of change in current, an amount of change in temperature, and an amount of change in SOC during the data acquisition period. S106 is a step of obtaining an allowable amount of change in current, an allowable amount of change in temperature, and an allowable amount of change in SOC based on an average temperature. S110 is a step of calculating an impedance component for each frequency bandwidth based on the voltage and the current by subjecting the voltage and the current to Fourier transform when all amounts of change are smaller than the allowable amounts of change.

Abstract: A battery deterioration judging system includes a memory, and a processor coupled to the memory. The processor is configured to acquire a state amount of a battery, derive a first deterioration probability of the battery, based on the state amount of the battery and a predetermined first calculation model, derive a reliability degree of a second calculation model, which is different than the first calculation model, based on a number of state amounts, derive a second deterioration probability of the battery, based on the state amount of the battery and the second calculation model, and judge deterioration of the battery based on the reliability degree, and at least one of the first deterioration probability or the second deterioration probability.

Abstract: A power storage module includes an electrode laminate in which bipolar electrodes are laminated and a sealing body formed of a resin. The bipolar electrode includes an electrode plate, a positive electrode provided on one surface of the electrode plate, and a negative electrode provided on another surface of the electrode plate. The sealing body is provided on a side surface of the electrode laminate to surround an edge portion of the bipolar electrode. The sealing body includes a first resin portion and a second resin portion. The first resin portion is welded to the edge portion of the bipolar electrode. The second resin portion surrounds the first resin portion from an outer side along the side surface. A mold shrinkage factor of the first resin portion is lower than a mold shrinkage factor of the second resin portion.

Abstract: A battery deterioration judging system includes a memory, and a processor coupled to the memory. The processor is configured to acquire a state amount of a battery, derive a first deterioration probability of the battery, based on the state amount of the battery and a predetermined first calculation model, derive a reliability degree of a second calculation model, which is different than the first calculation model, based on a number of state amounts, derive a second deterioration probability of the battery, based on the state amount of the battery and the second calculation model, and judge deterioration of the battery based on the reliability degree, and at least one of the first deterioration probability or the second deterioration probability.

Abstract: A battery diagnostic device for diagnosing a state of a battery mounted on a vehicle includes: an acquisition unit that acquires a physical quantity indicating the state of the battery; a setting unit that sets one diagnostic model from two or more diagnostic models based on the physical quantity acquired by the acquisition unit; and an estimation unit that estimates a deterioration state of the battery based on the one diagnostic model set by the setting unit.

Abstract: A power storage module comprises: an electrode stacked body including a stacked body in which a plurality of bipolar electrodes are stacked, a pair of terminal electrodes located on an outer side of the stacked body in a stacking direction of the bipolar electrodes, and a plurality of metal plates which constitute the stacked body and the pair of terminal electrodes; and a sealing body provided to surround a side surface of the electrode stacked body. The sealing body includes a plurality of first sealing portions coupled to edge portions of the plurality of metal plates, and a second sealing portion that couples the first sealing portions to each other. A thickness adjustment member that adjusts the thickness of the electrode stacked body in the stacking direction is disposed in the electrode stacked body at a position of overlapping the first sealing portions when viewed from the stacking direction.

Abstract: The first step includes performing FFT for a voltage and a current of a battery a plurality of times to thereby calculate the voltage and the current for each frequency. The second step includes determining whether or not the first condition and the second condition are satisfied for the current of the battery that is calculated for each frequency. The third step includes calculating an impedance component of the battery for each frequency range when at least one of the first condition and the second condition is not satisfied, and not calculating the impedance component of the battery for each frequency range when each of the first condition and the second condition is satisfied. The first condition shows that the current in a low frequency range is greater than a reference value. The second condition shows that the current in a frequency range is less than a reference value.

Abstract: A battery system includes a nickel hydride battery and an electronic control unit. The electronic control unit is configured to store data indicating a corresponding relationship between an elapsed time from start of use of the nickel hydride battery and a memory quantity. The data are data determined in a classified manner individually for each of conditions of use that are defined in such a manner as to include an open circuit voltage and a temperature. The electronic control unit is configured to sequentially calculate, with reference to the data, the memory quantity within a time when classification of the conditions of use does not change. The memory quantity is a quantity indicating an amount of change in voltage resulting from a memory effect. The electronic control unit is configured to estimate a current memory quantity of the nickel hydride battery by integrating the calculated memory quantity.

Abstract: A power storage module 4 includes an electrode laminate 11 including a laminate of a plurality of bipolar electrodes 14 and a negative terminal electrode 18 disposed on one end side of the laminate in a laminating direction D, a sealing body 12 provided to surround a side surface 11a of the electrode laminate 11 and sealing an internal space V formed between electrodes adjacent to each other, and an electrolytic solution containing an alkaline solution that is housed in the internal space V, both surfaces of a metal plate 15 of the negative terminal electrode 18 are bonded to the sealing body 12, and a first surplus space VB surrounded by the sealing body 12 and the metal plate 15 of the negative terminal electrode 18 is present.

Abstract: A battery degradation evaluation system includes a memory and a processor. The processor is configured to acquire state quantities of a battery mounted at a vehicle, derive probabilities, and evaluate degradation of the battery based on the derivation results. The probabilities are a short-term degradation probability of the battery degrading in a pre-specified short period, a medium-term degradation probability of the battery degrading in a period that is longer than the short period, and a long-term degradation probability of the battery degrading in a period that is longer than the medium period. When a number of the state quantities is smaller, the processor sets a higher weighting for a combined degradation probability for the short period and medium period, which is calculated from the long-term degradation probability. When the number of state quantities is larger, the processor sets a higher weighting for the short-term degradation probability.

Abstract: A battery degradation evaluation system includes a memory and a processor connected to the memory. The processor is configured to acquire a state quantity of a battery, correct the acquired state quantity if the state quantity correlates with a physical quantity relating to temperature of the battery, and evaluate degradation of the battery based on the corrected state quantity.