A method for battery capacity estimation is provided. The method includes monitoring a sensor, collecting a plurality of data points including a voltage-based state of charge value and an integrated current value, defining within the data points a first data set collected during a first time period and a second data set collected during a second time period, determining an integrated current error related to the second data set, comparing the integrated current error related to the second data set to a threshold integrated current error. When the error related to the second data set exceeds the threshold, the method further includes resetting the second data set based upon an integrated current value from the first time period. The method further includes combining the data sets to create a combined data set and determining a voltage slope capacity estimate as a change in integrated current versus voltage-based state of charge.

A monitoring method includes, among other things, within a vehicle, providing a first electrical system with an auxiliary battery, and a second electrical system with a primary battery. The method further includes electrically coupling the first electrical system to the second electrical system, electrically loading the auxiliary battery and the primary battery, and comparing an electrical parameter of the auxiliary battery to a threshold value to assess a state of the auxiliary battery.

A monitoring method includes, among other things, within a vehicle, providing a first electrical system with an auxiliary battery, and a second electrical system with a primary battery. The method further includes electrically coupling the first electrical system to the second electrical system, electrically loading the auxiliary battery and the primary battery, and comparing an electrical parameter of the auxiliary battery to a threshold value to assess a state of the auxiliary battery.

Embodiments described herein generally relate to the modification of State of Charge (SoC) calculations within electric vehicles (EVs). A database of data points may be generated based on characteristics of a battery cell at various measured SoCs within a controlled environment. Subsequently, during the operation of an EV, a battery management system (BMS) within the EV may collect various operating data points. The collected operating data points may be utilized to reference similar data points stored in the database in order to determine an SoC value. The SoC value may be utilized to modify or alter the SoC calculations by the BMS for an EV in operation.

Embodiments described herein generally relate to the modification of State of Charge (SoC) calculations within electric vehicles (EVs). A database of data points may be generated based on characteristics of a battery cell at various measured SoCs within a controlled environment. Subsequently, during the operation of an EV, a battery management system (BMS) within the EV may collect various operating data points. The collected operating data points may be utilized to reference similar data points stored in the database in order to determine an SoC value. The SoC value may be utilized to modify or alter the SoC calculations by the BMS for an EV in operation.

A method for non-invasive characterisation of a cell for a battery is provided, the method comprising: measuring a magnetic field generated by the cell using a plurality of magnetic field sensors positioned adjacent to the cell, the measuring producing magnetic field sensor data, wherein the measuring is performed while the cell is in a passive state; determining current density profile data across the cell based on the magnetic field sensor data; and determining a condition of the cell using the current density profile data.

A method for non-invasive characterisation of a cell for a battery is provided, the method comprising: measuring a magnetic field generated by the cell using a plurality of magnetic field sensors positioned adjacent to the cell, the measuring producing magnetic field sensor data, wherein the measuring is performed while the cell is in a passive state; determining current density profile data across the cell based on the magnetic field sensor data; and determining a condition of the cell using the current density profile data.

A current detector includes: a printed circuit board; and a resistor for detecting an electric current of the electrochemical device, wherein a connector having a first terminal is mounted on the printed circuit board, and the resistor has a second terminal which is brought into contact with the first terminal.

A current detector includes: a printed circuit board; and a resistor for detecting an electric current of the electrochemical device, wherein a connector having a first terminal is mounted on the printed circuit board, and the resistor has a second terminal which is brought into contact with the first terminal.

In order to detect a cell voltage with high accuracy during an equalizing process among a plurality of cells, during execution of the equalizing process among the plurality of cells, controller measures a value of a current flowing to a negative electrode of an nth cell through an nth discharge resistor, calculates an (n−1)th voltage drop value due to a wiring resistance value of an (n−1)th wiring and an nth voltage drop value due to a wiring resistance value of an nth wiring based on the measured current value, and the wiring resistance value of the (n−1)th wiring connected to a positive electrode of the nth cell and a wiring resistance value of the nth wiring connected to the negative electrode of the nth cell, the wiring resistance value of the (n−1)th wiring and the wiring resistance value of the nth wiring being measured in advance, and, based on the (n−1)th voltage drop value and the nth voltage drop value, corrects the voltage value of the nth cell, a voltage value of an (n−1)th cell, and a voltage value of an (n+1)th cell measured by voltage measurement circuit.