Provided are a battery management system (BMS) and a battery system capable of accurately measuring a voltage without using a precise resistance element and reducing an error even when operating in a wide temperature range. Since a correction amount for the resistor included in the voltage measurement module is generated using a diagnostic power source configured independently of the battery system, and a voltage of the circuit included in the battery system is measured by applying the generated correction amount, the voltage may be precisely measured without using a high-precision resistance element. Since a changeover switch operates periodically to generate and apply an updated correction amount according to a changing environment, the voltage may be precisely measured even if it is applied to a system in which the environment continuously changes, such as a driving electric vehicle.

A battery management system for tracking a state of charge of a battery including multiple cells including a coulomb counter (CC) estimator and an artificial intelligence (AI) estimator. The CC estimator determines a charge difference over time for tracking changes of a state of charge of each cell and updates a corresponding state of charge value. The AI estimator converts a set of sample values of a cell into an estimated state of charge for calibrating the cell. A controller may periodically invoke the AI estimator to calibrate the state of charge of each cell and to update a corresponding state of charge value. Processing by the AI estimator may be minimized by being used only to calibrate each cell before combined error of the CC estimator reaches a predetermined threshold. AI based calibration may use Long Short-Term Memories and may further incorporate voltage mean and voltage variance over time.

A battery management system for tracking a state of charge of a battery including multiple cells including a coulomb counter (CC) estimator and an artificial intelligence (AI) estimator. The CC estimator determines a charge difference over time for tracking changes of a state of charge of each cell and updates a corresponding state of charge value. The AI estimator converts a set of sample values of a cell into an estimated state of charge for calibrating the cell. A controller may periodically invoke the AI estimator to calibrate the state of charge of each cell and to update a corresponding state of charge value. Processing by the AI estimator may be minimized by being used only to calibrate each cell before combined error of the CC estimator reaches a predetermined threshold. AI based calibration may use Long Short-Term Memories and may further incorporate voltage mean and voltage variance over time.

Disclosed is a method and a device for detecting states of a battery and a battery pack. The disclosure obtains a first state of charge and a second state of charge of the battery by use of a charge calculation method and a method based on battery model, respectively. The charge calculation method is more accurate when the charge-discharge current is large and the method based on battery model performs better in handling a small current, so that a chemistry state of charge obtained by performing a weighted calculation for the first state of charge and the second state of charge can represent the real state of charge of the battery more precisely. The disclosure settles the difficulty on parameter extraction of the conventional model method, eliminates the influence of the accumulated error of the charge calculation method, and combines the advantages of the method based on the battery model and the coulometer method.

A current sensor device for measuring a current in a conductor comprising: current sensing means comprising a magnetic sensing element for contactlessly measuring the current; amplification means arranged to act in a first and second state, said amplification means in said first and second state being arranged for amplifying a first and second signal, respectively, from said current sensing means with an adjustable first gain and a second gain and a first and second bandwidth to yield a first and second amplified signal, respectively, wherein said first gain is higher than the second gain, wherein the first gain and the second gain are larger than 1; processing means for controlling at least said first gain, for detecting an event based on at least said second amplified signal and for producing a signal indicative of said event; an output terminal arranged for outputting a signal indicative of said current based on said first amplified signal; and an output terminal arranged for outputting said signal indicative of the event.

A current sensor device for measuring a current in a conductor comprising: current sensing means comprising a magnetic sensing element for contactlessly measuring the current; amplification means arranged to act in a first and second state, said amplification means in said first and second state being arranged for amplifying a first and second signal, respectively, from said current sensing means with an adjustable first gain and a second gain and a first and second bandwidth to yield a first and second amplified signal, respectively, wherein said first gain is higher than the second gain, wherein the first gain and the second gain are larger than 1; processing means for controlling at least said first gain, for detecting an event based on at least said second amplified signal and for producing a signal indicative of said event; an output terminal arranged for outputting a signal indicative of said current based on said first amplified signal; and an output terminal arranged for outputting said signal indicative of the event.

Provided are an apparatus and a method for estimating internal resistance of a battery pack. The apparatus includes: a voltage sensing unit that measures a voltage value of the battery pack; a current sensing unit that measures a current value of the battery pack; a temperature sensing unit that measures a temperature value of the battery pack; and a microprocessor unit (MCU) that calculates the internal resistance of the battery pack using values transferred from the voltage sensing unit, the current sensing unit, and the temperature sensing unit.

A fuel cell system includes a drive motor, a fuel cell, an auxiliary machine, a secondary battery, a temperature sensor, a current sensor, and a control section. The control section controls the secondary battery for discharging by driving the drive motor or the auxiliary machine and for charging through power generation by the fuel cell or regeneration by the drive motor when a temperature measured by the temperature sensor is lower than a specified value.

Method for diagnosing and predicting the lifespan of lead-based batteries, especially lead-based batteries intended to store standby power.

The invention essentially consists in a new method for diagnosing lead-acid batteries and advantageously for estimating their remaining lifespans, the batteries more particularly being intended for standby storage applications.

The method is based on a combination of continuous monitoring measurements with integration of the over-charging current (computation of the over-charging Ah applied to the battery from its installation) and of periodic measurements under DC current of the internal resistance of the battery using short discharging periods with a constant current or a constant power.

This application provides a sampling component, including a body portion and a lap portion. The body portion is configured to transmit a sample signal. The lap portion laps the body portion at one end and laps a point for sampling at the other end, to acquire the sample signal; and the lap portion is provided with a fusing structure configured to implement fusing protection on the body portion.