G01R31/36

METHOD FOR CONTROLLING A CHARGING CURRENT LIMITING VALUE FOR A BATTERY MANAGEMENT SYSTEM, BATTERY MANAGEMENT SYSTEM

A method for controlling a charging current limiting value for a battery management system. In one example, the method includes determining, for a measured temperature and a prescribed state of charge, reference currents for various time intervals; calculating a corresponding reference time constant for each reference current by using a model for the calculation of a mean value of a charging current based on a continuous current; constituting a diagram for the relationship between the reference time constant and the reference current; determining a predictive time constant by the comparison of a measured value of a charging current with the reference currents; calculating a predictive limiting mean value of the charging current; and calculating a first predictive limiting value i.sub.predS for a short predictive time t.sub.predS, a second predictive limiting value i.sub.predL for a long predictive time t.sub.predL, and a third predictive limiting value i.sub.predP for a continuous predictive time.

Fast charging method and system, terminal, and charger

A terminal and a fast charging method includes sending, by the terminal, instruction information to a charger connected to the terminal in order to instruct the charger to adjust an output voltage and an output current, converting, by the terminal, the output voltage of the charger into 1/K times the output voltage, and converting the output current of the charger into K times the output current such that a charging circuit between two sides of a battery charges the battery with the 1/K times the output voltage and the K times the output current, where K is a conversion coefficient of a conversion circuit with a fixed conversion ratio in the terminal and is a constant value, and K is any real number greater than one.

Method and system for identifying third-order model parameters of lithium battery based on likelihood function

A method and a system for identifying third-order model parameters of a lithium battery based on a likelihood function are provided, which relates to a method for estimating battery model parameters of a lithium battery under different temperatures, different system-on-chips (SOCs), and charge-discharge currents. The method includes the following steps. A third-order battery model of the lithium battery is established. A battery model output voltage U.sub.d and a total battery current I under different temperatures, different SOCs, and charge-discharge currents are collected. The likelihood function is adopted to construct an identification model, and the collected data is substituted into the identification model to calculate the battery model parameters. Identified parameters are substituted into the third-order battery model to obtain a battery terminal voltage to be compared with a measured terminal voltage. The operation method of the disclosure is simple and effective, and can accurately estimate internal resistance parameters of the lithium battery.

Apparatus for verifying electrical connectivity
11579199 · 2023-02-14 · ·

An apparatus for verifying electrical connectivity between a first device and a second device includes: a signal generator configured to generate a first signal having a voltage waveform. under control of a processor; a second device connector configured to transmit the first signal to the second device and acquire a second signal output from the second device in response to the first signal; a processor connector configured to transmit the first and second signals to the processor; a current controller configured to control a magnitude of current such that the first signal has a given current value; and the processor configured to verify the electrical connectivity between the first and second devices based on the first and second signals received through the processor connector.

Apparatus for verifying electrical connectivity
11579199 · 2023-02-14 · ·

An apparatus for verifying electrical connectivity between a first device and a second device includes: a signal generator configured to generate a first signal having a voltage waveform. under control of a processor; a second device connector configured to transmit the first signal to the second device and acquire a second signal output from the second device in response to the first signal; a processor connector configured to transmit the first and second signals to the processor; a current controller configured to control a magnitude of current such that the first signal has a given current value; and the processor configured to verify the electrical connectivity between the first and second devices based on the first and second signals received through the processor connector.

System for predicting battery usage habits and battery discharge tendencies

The present invention relates to a system for predicting battery usage habits and battery discharge tendencies. The system includes a battery sensor that senses a state of charge (SOC) of a battery and a controller hat calculates battery power generation amount during driving time of a vehicle and battery consumption during parking time of the vehicle based on information sensed by the battery sensor. A storage unit for stores the battery power generation amount, the battery consumption, time at which the vehicle is tuned on/off, and time at which the controller enters a sleep/wake-up state.

Battery life estimation
11580527 · 2023-02-14 · ·

Digital transaction apparatus including a Data Assistance Device (DAD), including a user interface that is operable to at least select data, and a DAD transmitter, a Digital Transaction Card (DTC), including a Digital Transaction Processing Unit (DTPU), and a DTC receiver, wherein the DAD and DTC are operable to transfer data from the DAD to the DTC and when subsequently using the DTC to effect a digital transaction, the DTC operates in accordance with the data selected and transferred from the DAD to the DTC, wherein the digital transaction apparatus further includes a remaining battery life estimation system operable to detect an occurrence of at least one electrical event and to measure the duration of the at least one electrical event, each electrical event having an associated power usage amount, and, subsequent to detection of an occurrence of an at least one electrical event, the remaining battery life estimation system calculates the total energy usage using the associated power usage amount in respect of the at least one electrical event and the duration of the at least one electrical event.

INSULATION DETECTION METHOD AND APPARATUS FOR FUEL CELL VEHICLE, AND VEHICLE
20230037313 · 2023-02-09 ·

Provided are an insulation detection method and apparatus for a fuel cell vehicle, and a vehicle. The method comprises: determining whether a vehicle is started; when the vehicle is started, executing the following steps: controlling a battery management system to perform the first insulation detection; detecting whether a fuel cell is started; and when the fuel cell is not started, controlling a fuel cell control unit to perform second insulation detection, wherein an insulation detection module for performing insulation detection on the fuel cell is provided in the fuel cell control unit of the vehicle.

Battery Apparatus, Battery Management System, and Method for Diagnosing Connection Status

In a battery apparatus, a battery pack includes a plurality of battery modules and a bus-bar connecting two battery modules among the plurality of battery modules. A wire connects the battery pack and the switch for controlling current supply of the battery pack. A voltage measuring circuit measures a voltage of the bus-bar, a voltage of the battery pack, and voltages of the plurality of battery modules. A processor diagnoses a connection status of the bus-bar and a connection status of the wire based on a current of the battery pack, the voltage of the bus-bar, the voltage of the battery pack, and the voltages of the plurality of battery modules.

BATTERY INSPECTION APPARATUS

A battery inspection apparatus capable of self-diagnosing failure is provided. The battery inspection apparatus includes a contact probe, a power supply module, a power cable for providing a path for supplying the power generated by the power supply module to the contact probe, a voltage measuring module, a measuring cable configured to measure a voltage of the contact probe by the voltage measuring module, a switching module configured to selectively connect the voltage measuring module to the power cable or the measuring cable, and a control module configured to determine whether at least one of the contact probe or the power cable is abnormal based on the voltage measurement value of the voltage measuring module according to a connection state of the switching module. A verification device capable of diagnosing failure of the battery inspection apparatus is also provided.