Embodiments of the present application provide a method and an apparatus for battery SOC correction, and a battery management system, which relate to the technical field of batteries. The method includes: acquiring a voltage-SOC variation curve of a battery during a charging process; generating a voltage differential curve of the battery according to the voltage-SOC variation curve, the voltage differential curve being a variation curve of a differential value with SOC, the differential value being a ratio of a voltage variation to a SOC variation corresponding to the voltage variation during the charging process; determining a peak point on the voltage differential curve, the peak point being between any two adjacent plateaus on the voltage-SOC variation curve and not located on the any two adjacent plateaus; performing SOC correction on the basis of the peak point. This method is used to improve the SOC estimation accuracy.

Embodiments of the present application provide a method and an apparatus for battery SOC correction, and a battery management system, which relate to the technical field of batteries. The method includes: acquiring a voltage-SOC variation curve of a battery during a charging process; generating a voltage differential curve of the battery according to the voltage-SOC variation curve, the voltage differential curve being a variation curve of a differential value with SOC, the differential value being a ratio of a voltage variation to a SOC variation corresponding to the voltage variation during the charging process; determining a peak point on the voltage differential curve, the peak point being between any two adjacent plateaus on the voltage-SOC variation curve and not located on the any two adjacent plateaus; performing SOC correction on the basis of the peak point. This method is used to improve the SOC estimation accuracy.

A determination device (1) includes: an acquisition unit (11) that acquires determination information for determining a degree of deterioration or guarantee of a lead-acid battery (3); a determination unit (11) that determines the degree of deterioration or guarantee of the lead-acid battery (3) by referring to a database (142) that stores the determination information and the degree of deterioration or guarantee of the lead-acid battery (3) in association with each other based on the acquired determination information; and an output unit (11) that outputs a result determined by the determination unit (11).

A determination device (1) includes: an acquisition unit (11) that acquires determination information for determining a degree of deterioration or guarantee of a lead-acid battery (3); a determination unit (11) that determines the degree of deterioration or guarantee of the lead-acid battery (3) by referring to a database (142) that stores the determination information and the degree of deterioration or guarantee of the lead-acid battery (3) in association with each other based on the acquired determination information; and an output unit (11) that outputs a result determined by the determination unit (11).

An electric current measuring arrangement includes: a first control unit including a first microcontroller; a second control unit including: a second microcontroller; an amplifier electrically interconnected between the second microcontroller and terminals of a shunt resistor for current measurement; and a node interconnected between one of the terminals of the shunt resistor and the amplifier; a communication line communicatively connecting the first control unit and the second control unit. The first microcontroller is configured to generate a test pattern signal, and to transmit the test pattern signal to the second control unit through the communication line, the second control unit is configured to transmit the test pattern signal to the node, the second microcontroller is configured to receive a measuring signal through the amplifier, and the first microcontroller is configured to receive the measuring signal, compare the measuring signal with the test pattern signal, and verify the current measurement.

An electric current measuring arrangement includes: a first control unit including a first microcontroller; a second control unit including: a second microcontroller; an amplifier electrically interconnected between the second microcontroller and terminals of a shunt resistor for current measurement; and a node interconnected between one of the terminals of the shunt resistor and the amplifier; a communication line communicatively connecting the first control unit and the second control unit. The first microcontroller is configured to generate a test pattern signal, and to transmit the test pattern signal to the second control unit through the communication line, the second control unit is configured to transmit the test pattern signal to the node, the second microcontroller is configured to receive a measuring signal through the amplifier, and the first microcontroller is configured to receive the measuring signal, compare the measuring signal with the test pattern signal, and verify the current measurement.

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.

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.

Methods and electronic devices for estimating state of charge (SOC) of a battery pack. Various embodiments provide a model comprising an (electrical) equivalent circuit model, an electrochemical (thermal) model, and a (convective) thermal model. The model estimates parameters pertaining to each cell of the battery pack individually, and determines the variations in the values of the parameters among each of the cells of the battery pack. The parameters include capacity, temperature current, voltage, and SOC. The parameters are computed based on at current drawn by the battery pack, electrochemical parameters, thermal parameters, and cell internal and connection resistances of the individual cells. Various embodiments compute battery pack uptime, chargeable capacity of the battery pack and SOC of the battery pack, based on the values of the parameters.

Methods and electronic devices for estimating state of charge (SOC) of a battery pack. Various embodiments provide a model comprising an (electrical) equivalent circuit model, an electrochemical (thermal) model, and a (convective) thermal model. The model estimates parameters pertaining to each cell of the battery pack individually, and determines the variations in the values of the parameters among each of the cells of the battery pack. The parameters include capacity, temperature current, voltage, and SOC. The parameters are computed based on at current drawn by the battery pack, electrochemical parameters, thermal parameters, and cell internal and connection resistances of the individual cells. Various embodiments compute battery pack uptime, chargeable capacity of the battery pack and SOC of the battery pack, based on the values of the parameters.