A vehicle includes: a battery module including a plurality of battery cells; a battery pack including a plurality of battery modules; a battery cell sensor configured to measure voltages of the plurality of battery cells; a battery module sensor configured to measure a voltage of the battery module and a current of the battery module; and a controller configured to perform data processing based on the data obtained by the battery cell sensor and the battery module sensor.

The disclosed apparatus and method is a closed loop system that obtains, stores and transfers motive energy. Preferably, the majority of the electricity generated is utilized to service a load or supplied to the grid. A portion of the electric power produced is used to recharge the batteries for subsequent use of the electric motor. The system controls and manages the battery power by controlling the charging and discharging of the battery reservoir via a series of electrical and mechanical innovations controlled by electronic instruction using a series of devices to analyze, optimize and perform power production and charging functions in sequence to achieve its purpose.

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 setting a charging power limit of a battery when charging the battery, according to an embodiment of the present invention, may include a reference charging power limit setting step in which a referential predetermined charging power limit is set, a real-time charging power limit calculation step in which a real-time charging power limit is calculated in real time according to a current voltage of the battery, a real-time charging power limit setting step in which a charging power limit of the battery is set to the real-time charging power limit calculated in the real-time charging power limit calculation step, and a charging power limit restoring step in which the real-time charging power limit set in the real-time charging power limit setting step is restored to the referential predetermined charging power limit.

There are provided a battery management apparatus, a battery management method and a battery pack. The battery management apparatus generates a first data set including a first current value, a first voltage value and a first temperature value indicating a current, a voltage and a temperature of a battery. The battery management apparatus generates a second data set from the first data set using an error generator. The battery management apparatus determines a first candidate value, a second candidate value and a third candidate value for a state of charge (SOC) from the first current value, the first data set and the second data set, respectively. The control unit determines the first candidate value or the second candidate value as the SOC based on a first difference value between the first candidate value and the second candidate value.

A battery system includes a battery module that includes a plurality of battery cells, a monitoring unit configured to monitor a parameter of each of the battery cells, and a control unit configured to determine whether there is an abnormal battery cell in the battery module using the parameter, to calculate a reference voltage for balancing the battery cells when it is determined that there is an abnormal battery cell in the battery module, and to control cell balancing of the battery cells to an equalization target range.

A method for calculating the process capacity at a specific temperature of a lithium secondary battery includes a correction to a process capacity (Q.sub.3) at a specific temperature (T.sub.2) is performed using a value (Q.sub.1−Q.sub.2) obtained by subtracting the charge capacity (Q.sub.2) at the time of the shipping charge from the discharge capacity (Q.sub.1) measured at a discharge temperature (T.sub.1). A system for calculating a process capacity of a lithium secondary battery is provided.

The present application discloses a method, apparatus, device and medium for estimating performance parameters of a battery. The method for estimating performance parameters of a battery includes: generating a first curve segment to be calibrated during a process of adjusting a battery capacity in a first capacity interval with a first capacity value as an endpoint value; determining, in a preset reference curve, a first target curve segment that matches the first curve segment to be calibrated; determining a SOC interval corresponding to the first target curve segment as a SOC interval of the first curve segment to be calibrated; and estimating the performance parameters of the battery based on the SOC interval of the first curve segment to be calibrated, the performance parameters include a current SOC and/or a current battery capacity.

A battery characteristic estimation device including a storage medium that stores computer-readable instructions, and a processor coupled to the storage medium, the processor executing the computer-readable instructions to: acquire time-series data of at least a voltage and current of a secondary battery having a positive electrode containing a positive electrode active material and a negative electrode containing a negative electrode active material; store a reference positive electrode OCP curve, and a reference negative electrode OCP curve; convert the reference positive electrode OCP curve into a positive electrode OCP curve in accordance with a first parameter group, convert the reference negative electrode OCP curve into a negative electrode OCP curve in accordance with a second parameter group, and estimate an OCV curve on the basis of a difference between the positive electrode OCP curve and the negative electrode OCP curve; and optimize the first parameter group and the second parameter group.

A method is described including selecting an impedance threshold for a battery in electrical communication with an integrated circuit; acquiring an impedance of the battery; calculating an average impedance of the battery for a period of time; determining whether the integrated circuit is a victim of a power side channel attack if the average impedance of the battery for the period of time exceeds the impedance threshold; and responding to the power side channel attack.