Provided is a secondary battery inspection device capable of improving inspection accuracy while simplifying the inspection of a secondary battery. Value of a model parameter of a secondary battery model is identitied based on a sampling period T. In the secondary battery model, impedance of internal resistance of a secondary battery 2(0) is expressed by an IIR transfer function and an FIR transfer function. When impulse current I(t) is input to a specified model as the secondary battery model the value of the model parameter of which is identified, a model output voltage as a voltage change form output from the specified model is estimated. The performance of the secondary battery 200 according to the sampling period T is evaluated based on the measurement result of the voltage of the secondary battery 200 when the impulse current I(t) flows into the secondary battery 200, and the specified model output voltage.

A method for managing a charge state of a battery left to rest and experiencing losses of capacity over time, includes the following stages repeated at regular time intervals: determining the losses of capacity experienced by the battery during a time interval; determining a target value of the charge state; on the basis of the losses of capacity experienced by the battery, a predetermined minimum charge quantity and a maximum discharge capacity of the battery, the target value of the charge state being strictly less than 100%; and adjusting the charge state of the battery to the target value.

A method for managing a charge state of a battery left to rest and experiencing losses of capacity over time, includes the following stages repeated at regular time intervals: determining the losses of capacity experienced by the battery during a time interval; determining a target value of the charge state; on the basis of the losses of capacity experienced by the battery, a predetermined minimum charge quantity and a maximum discharge capacity of the battery, the target value of the charge state being strictly less than 100%; and adjusting the charge state of the battery to the target value.

The invention relates to a method for controlling and monitoring a plurality of battery cells (2) in a battery pack (5), wherein: by means of at least one recording unit (20), a dataset of state variables from each battery cell (2) is recorded and transferred to a selection unit (32); by means of the selection unit (32), individual state variables from the plurality of state variable datasets are selected, which form a virtual dataset of state variables; by means of a simulation unit (34), a model of a virtual cell (8) is created from the selected state variables; and by means of a data-processing unit (36), a limit value for a charging current (I) for charging the battery cells (2) in the battery pack (5) is calculated from the selected state variables of the virtual cell (8).

Various embodiments of the present technology may provide methods and apparatus for a battery. The apparatus may provide a fuel gauge circuit that operates in conjunction with a charger to perform a pre-charging operation of the battery in the event the battery has experienced an over-discharge. The pre-charging operation is defined by a period of time selected according to a measured state of charge and/or an internal resistance of the battery.

Various embodiments of the present technology may provide methods and apparatus for a battery. The apparatus may provide a fuel gauge circuit that operates in conjunction with a charger to perform a pre-charging operation of the battery in the event the battery has experienced an over-discharge. The pre-charging operation is defined by a period of time selected according to a measured state of charge and/or an internal resistance of the battery.

A vehicle has a battery including a plurality of cells connected in series, and a battery management integrated circuit including a plurality of inputs each being directly electrically connected to a terminal of one of the cells via an electrical path that includes a fuse and a resistor connected in series. The battery management integrated circuit further includes a top input directly electrically connected to a positive output of the battery and configured to receive power from the battery that is defined by a current having a magnitude that is at least an order of magnitude greater than current received by the inputs and a voltage equal to a sum of voltages of all the cells. The battery management integrated circuit is configured to calculate a voltage difference between one of the inputs and an adjacent one of the inputs to determine a voltage of a top cell of the battery cells and to correct the voltage of the top cell to form a corrected voltage as a sum of the voltage of the top cell and a calculated voltage drop across the fuse in the electrical path between the top cell and the one of the inputs. The vehicle further has a controller programmed to balance the cells according to the corrected voltage of the top cell.

An estimation device includes: an acquisition unit that acquires a voltage, a current, and a temperature of a lead-acid battery; a first deriving unit that derives a first SOC and a second SOC that are SOCs of a start point and an end point of an estimation period; a second deriving unit that derives a total amount of an overcharge amount in the estimation period; a third deriving unit that derives an actual measurement error based on a difference between the first SOC and the second SOC and the total amount of the overcharge amount; a first specification unit that specifies an estimation error based on the first SOC, the second SOC, and the temperature, and a relationship between the first SOC, the second SOC, and the temperature of the lead-acid battery, and the estimation error; a second specification unit that specifies an abnormality degree of the actual measurement error based on the derived actual measurement error and the specified estimation error; and an estimation unit that estimates generation of an internal short-circuit of the lead-acid battery based on the abnormality degree.

An estimation device includes: an acquisition unit that acquires a voltage, a current, and a temperature of a lead-acid battery; a first deriving unit that derives a first SOC and a second SOC that are SOCs of a start point and an end point of an estimation period; a second deriving unit that derives a total amount of an overcharge amount in the estimation period; a third deriving unit that derives an actual measurement error based on a difference between the first SOC and the second SOC and the total amount of the overcharge amount; a first specification unit that specifies an estimation error based on the first SOC, the second SOC, and the temperature, and a relationship between the first SOC, the second SOC, and the temperature of the lead-acid battery, and the estimation error; a second specification unit that specifies an abnormality degree of the actual measurement error based on the derived actual measurement error and the specified estimation error; and an estimation unit that estimates generation of an internal short-circuit of the lead-acid battery based on the abnormality degree.

An estimation device includes: a derivation unit (31) configured to derive a derivation history based on a current, a voltage of a lead-acid battery and a temperature of the lead-acid battery; a specifying unit (31) configured to specify one or more physical quantities based on the derivation history, and one or more relationships selected from a first relationship between a first history and an amount of positive active material, a second relationship between a second history and a specific surface area of a positive electrode material, a third relationship between a third history and bulk density of the positive active material, a fourth relationship between a fourth history and positive active material particles in a cluster size, a fifth relationship between a fifth history and a cumulative amount of lead sulfate of a negative electrode material, a sixth relationship between a sixth history and a specific surface area of the negative electrode material, a seventh relationship between a seventh history and a corrosion amount of a positive electrode grid, an eighth relationship between an eighth history and resistivity of a positive electrode plate, and a ninth relationship between a ninth history and resistivity of a negative electrode plate; and an estimation unit (31) configured to estimate a degree of deterioration of the lead-acid battery.