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.

A semiconductor device capable of reducing errors in sensing a remaining amount of a battery even when a temperature of the battery varies is provided. The semiconductor device for monitoring a battery state includes a prediction unit that predicts a temperature at a time of discharge termination of the battery according to a temperature of the battery at a predetermined time and outputs a voltage of the battery in consideration of the predicted temperature at the time of the discharge termination, and a remaining amount detecting unit that detects the remaining amount of the battery based on the voltage of the battery outputted by the prediction unit and a current of the battery at a predetermined time.

Monitoring devices for battery systems, battery systems and corresponding methods are provided. A monitoring device can communicate via a first interface with a control device. The monitoring device can communicate with a security device via a second interface in a first operating mode, and can communicate with a temperature sensor in a second operating mode of the second interface.

Monitoring devices for battery systems, battery systems and corresponding methods are provided. A monitoring device can communicate via a first interface with a control device. The monitoring device can communicate with a security device via a second interface in a first operating mode, and can communicate with a temperature sensor in a second operating mode of the second interface.

The battery unit includes a storage configured to store (A1) and (A2) below, and a battery state estimator. (A1) : a table map OCV vs. SOC characteristics. (A2) : HF vs. SOC initial characteristics. The battery state estimator estimates, based on (A1), a start SOC corresponding to a detected OCV at a start of charge; measures HF vs. SOC present characteristics and detects a peak of differential characteristics of the measured HF vs. SOC present characteristics during the charge; determines a SOC at the detected peak as a SOC(HF) based on (A2); calculates a charge capacity from the start of the charge to detection of SOC the peak; calculates a SOC(OCV) based on the calculated charge capacity and the start SOC; and in a case where the SOC(OCV) deviates with respect to the SOC(HF) by an amount of deviation equal to or greater than a predetermined value, corrects (A1).

The battery unit includes a storage configured to store (A1) and (A2) below, and a battery state estimator. (A1) : a table map OCV vs. SOC characteristics. (A2) : HF vs. SOC initial characteristics. The battery state estimator estimates, based on (A1), a start SOC corresponding to a detected OCV at a start of charge; measures HF vs. SOC present characteristics and detects a peak of differential characteristics of the measured HF vs. SOC present characteristics during the charge; determines a SOC at the detected peak as a SOC(HF) based on (A2); calculates a charge capacity from the start of the charge to detection of SOC the peak; calculates a SOC(OCV) based on the calculated charge capacity and the start SOC; and in a case where the SOC(OCV) deviates with respect to the SOC(HF) by an amount of deviation equal to or greater than a predetermined value, corrects (A1).

Based on changes in a battery (e.g., age, temperature) of an electronic device, battery power prediction and correction logic of the electronic device may correct a power capability and/or regulate power associated with the battery. For example, the battery power prediction and correction logic may operate the battery to supply up to a maximum of a power capability with an applied correction factor based on a voltage measurement and a cutoff voltage associated with the battery.

Based on changes in a battery (e.g., age, temperature) of an electronic device, battery power prediction and correction logic of the electronic device may correct a power capability and/or regulate power associated with the battery. For example, the battery power prediction and correction logic may operate the battery to supply up to a maximum of a power capability with an applied correction factor based on a voltage measurement and a cutoff voltage associated with the battery.

An apparatus which diagnoses a battery by detecting an abnormal voltage drop phenomenon of a battery cell includes a voltage measuring circuit, a current measuring circuit, a voltage estimating circuit, and a control circuit. The voltage measuring circuit measures a voltage across both terminals of a battery cell. The current measuring circuit measures the current flowing through either terminal of a battery cell. The voltage estimating circuit, based on current and a status estimation model, calculates an estimated voltage level. The diagnostic circuit calculates a voltage level difference between a voltage level measured by the voltage measuring circuit and an estimated voltage level, and, based on the voltage level difference and a reference value, determines whether or not an error has occurred in the battery cell. The control circuit includes a control circuit which, according to an estimation accuracy of the estimated voltage level, adjusts a reference value.

An apparatus which diagnoses a battery by detecting an abnormal voltage drop phenomenon of a battery cell includes a voltage measuring circuit, a current measuring circuit, a voltage estimating circuit, and a control circuit. The voltage measuring circuit measures a voltage across both terminals of a battery cell. The current measuring circuit measures the current flowing through either terminal of a battery cell. The voltage estimating circuit, based on current and a status estimation model, calculates an estimated voltage level. The diagnostic circuit calculates a voltage level difference between a voltage level measured by the voltage measuring circuit and an estimated voltage level, and, based on the voltage level difference and a reference value, determines whether or not an error has occurred in the battery cell. The control circuit includes a control circuit which, according to an estimation accuracy of the estimated voltage level, adjusts a reference value.