Abstract: Provided is an electric vehicle driving mileage calculation method, comprising the following steps: calculate the energy consumption of a power battery of the electric vehicle per unit driving mileage; obtain the open-circuit voltage (OCv)-battery capacity (Q) reference curve of the power battery; obtain the OCv of the power battery; obtain the currently remaining available energy of the power battery according to the OCv and the OCv-Q reference curve of the power battery; calculate the driving mileage of the electric vehicle according to the energy consumption of the power battery per unit driving mileage and the currently remaining available energy of the power battery, whereby the driving mileage of the electric vehicle which is calculated is more accurate. Also disclosed is an electric-vehicle driving mileage calculation device and an electric vehicle.

Abstract: A method for obtaining a capacity of a power battery includes: collecting, by sensors, sample data of the power battery; dividing, by a processor, the sample data into multiple categories, each of the categories having a corresponding aging model and a feature identifier, the feature identifier identifying features of sample data of a corresponding category, and the aging model being obtained by: determining a fitting relationship in the aging model, and determining parameters in the fitting relationship according to sample data of a corresponding type of the aging model; acquiring, by the processor, battery state parameters of the power battery; selecting, by the processor, an aging model from multiple aging models according to the battery state parameters; and inputting, by the processor, the battery state parameters into the selected aging model to obtain the capacity of the power battery.

Abstract: A method for determining a voltage inflection point of a cell core in a LFP battery includes: charging the LFP battery with a first current value and monitoring the State of charge (SOC) of the LFP battery, the first current value being greater than a predetermined threshold of current; if the SOC of the LFP battery is outside a predetermined detection range, charging the LFP battery with the first current value; if the SOC of the LFP battery is within the detection range, charging the LFP battery with a second current value, the second current value being less than the predetermined threshold of current; and detecting the voltage inflection point of various cell cores in the LFP battery according to parameter information of the various cell cores in the LFP battery in the process of charging where the SOC is within the detection range.

Abstract: A method for generating an electrochemical impedance spectrum for a battery includes: collecting, in a discharge state of a battery, battery discharge information of the battery periodically according to a preset collection interval, where the battery discharge information includes collection time, and current information and voltage information associated with the collection time; performing Fourier transform according to the collection interval and battery discharge information, to obtain multiple frequency-based first battery signals; determining a second battery signal from the multiple first battery signals, where the second battery signal includes a voltage signal greater than or equal to a preset voltage threshold; and determining an electrochemical impedance at a corresponding frequency according to the second battery signal, and constructing an electrochemical impedance spectrum according to all the electrochemical impedance.

Abstract: A battery charging method based on lithium plating detection includes: acquiring a battery charging strategy table after receiving a battery charging instruction; charging a battery according to a charging current in the battery charging strategy table, and performing at least one charging lithium plating detection on the battery during the charging of the battery, to obtain a first lithium plating detection result; continuing the charging of the battery according to the charging current and the charging lithium plating detection of the battery when no lithium plating phenomenon occurs, and stopping the charging lithium plating detection when the lithium plating phenomenon occurs or the charging of the battery is completed; and updating the charging current according to a preset first current reduction strategy when the lithium plating phenomenon occurs, and continuing the charging of the battery according to the updated charging current until the charging is completed.

Abstract: A method for detecting a lithium plating state of a battery includes regularly collecting a voltage of a battery after the end of charging at a preset time interval after the battery is in an idle state, and associatively storing the collected voltage and a collection time as voltage data; constructing a time-differential voltage curve in a voltage-time coordinate system according to the voltage data; detecting whether a characteristic peak voltage exists in the time-differential voltage curve; and sending a warning message when detecting that the characteristic peak voltage exists in the time-differential voltage curve.

Abstract: A path determination method includes: obtaining current position information and destination position information of a target vehicle; determining a candidate path of the target vehicle according to the current position information and the destination position information; acquiring road condition information of the candidate path and reference vehicle information; determining first energy consumption information required to be consumed by the target vehicle to travel on the candidate path over a unit distance according to the road condition information and the reference vehicle information; and recommending the candidate path to the target vehicle according to the first energy consumption information.

Abstract: The present disclosure relates to a method and apparatus for determining a state of charge (SOC) of a battery and a battery management system (BMS), so as to resolve a problem such as inaccurate estimation of the SOC. The method includes: acquiring state data of the battery, where the state data comprises current data and voltage data; determining each element parameter value in an equivalent circuit model of the battery based on the equivalent circuit model, error information, battery characteristic data, and the state data by using a recursive least square (RLS) prediction model; and determining an estimated value of the SOC of the battery based on the element parameter value in the equivalent circuit model, the state data, and the battery characteristic data according to a technique of an observer.

Abstract: Disclosed are an automobile, and a power battery pack equalization method and device, the method comprises the following steps: acquiring a high voltage inflection point of the charging curve of a battery cell of the power battery pack and acquiring the capacity of the battery cell according to the high voltage inflection point of the battery cell, and equalizing the battery cell according to the capacity of the battery cell. Hence, equalization management of the power battery pack can be realized, thereby improving the use ratio of the power battery pack and prolonging the service life of the power battery pack.

Abstract: A method for calculating a cell state includes: acquiring a first knee-point voltage threshold of a cell, a first knee-point electricity corresponding to the first knee-point voltage threshold, a second knee-point voltage threshold of the cell and a second knee-point electricity corresponding to the second knee-point voltage threshold; recording a first charging curve of the cell in real time; obtaining a target knee point according to the first charging curve, the first knee-point voltage threshold, and the second knee-point voltage threshold, and obtaining a target-knee-point electricity according to the first knee-point electricity or the second knee-point electricity; detecting the electricity of the cell until the charging is completed, and obtaining a charged electricity of the cell from the target knee point to the completion of charging; and obtaining the capacity of the cell according to the target-knee-point electricity and the charged electricity.

Abstract: A power battery heating method for an electric vehicle includes: acquiring a heating power demand of a power battery; acquiring power demand information of a driving module of the electric vehicle in real time, and determining a current heating power of the power battery according to the power demand information; acquiring a compensating heating current according to the heating power demand and the current heating power when the current heating power is less than the heating power demand; causing the motor controller to regulate a control current of the driving motor according to the compensating heating current, so that the driving motor outputs a high-frequency oscillation current equal to the compensating heating current; and causing the power battery to perform self-heating according to the high-frequency oscillation current outputted by the driving motor.

Abstract: A warning method for battery thermal runaway includes: acquiring current temperature data of each temperature sensor arranged in a battery pack, current voltage data of each voltage sensor arranged in the battery pack, and current sensor disconnection data of each temperature sensor; calculating a number of occurrences of a primary feature at a current moment according to the current temperature data; calculating a number of occurrences of a secondary feature at the current moment according to the current voltage data and the current sensor disconnection data in a case that the number of occurrences of the primary feature is greater than 0; calculating a sum of the number of occurrences of the primary feature and the number of occurrences of the secondary feature at the current moment; and sending a warning for battery thermal runaway when the sum is greater than a preset feature number threshold.

Abstract: A battery internal temperature information processing method, a computer device, and a storage medium that first acquire off-line testing data for off-line testing a battery module and construct an equivalent thermal network model from the off-line testing data, determine optimal model parameters of the equivalent thermal network model based on a multi-objective function fitting method; thereafter, a first battery internal temperature estimate of the battery of the vehicle at a first moment in actual operation of the vehicle is determined, in turn, based on the acquired initial state vector values of the battery of the vehicle, first operational data at a first moment in actual operation of the vehicle, and an equivalent thermal network model including the optimal model parameters.

Abstract: A step-varying equalization method, a device, a medium, a battery pack, and a vehicle are provided. The method includes: initiating coarse-tuning equalization for a cell in the series-connected battery when an initial equalization difference of the cell reaches a preset coarse-tuning requirement; determining a first state of charge (SOC) equalization difference according to a first voltage value of the cell after completion of the coarse-tuning equalization when a first real equalization difference of the cell after the coarse-tuning equalization reaches a preset fine-tuning requirement, and initiating fine-tuning equalization for the cell with a first equalization step size based on the first SOC equalization difference; and determining that SOC equalization of the cell is completed when a second real equalization difference of the cell after completion of the fine-tuning equalization is less than or equal to a target equalization value.

Abstract: Provided is a method for calculating the SOH of a battery power pack. The method comprises the following steps: acquiring a charging curve of a cell of a battery power pack, and determining a current charging phase according to the charging curve, wherein the charging phase comprises a high voltage charging inflection point and a high voltage charging phase (S1); acquiring a battery pack power amount corresponding to the high voltage charging inflection point and a battery pack power amount corresponding to the high voltage charging phase (S2); calculating the remaining capacity of a cell according to the battery pack power amount corresponding to the high voltage charging inflection point and the battery pack power amount corresponding to the high voltage charging phase (S3); and calculating the SOH of the cell according to the remaining capacity (S4).

Abstract: Provided is an electric vehicle driving mileage calculation method, comprising the following steps: calculate the energy consumption of a power battery of the electric vehicle per unit driving mileage; obtain the open-circuit voltage (OCv)-battery capacity (Q) reference curve of the power battery; obtain the OCv of the power battery; obtain the currently remaining available energy of the power battery according to the OCv and the OCv-Q reference curve of the power battery; calculate the driving mileage of the electric vehicle according to the energy consumption of the power battery per unit driving mileage and the currently remaining available energy of the power battery, whereby the driving mileage of the electric vehicle which is calculated is more accurate.

Abstract: Provided is a method for calculating the SOH of a battery power pack. The method comprises the following steps: acquiring a charging curve of a cell of a battery power pack, and determining a current charging phase according to the charging curve, wherein the charging phase comprises a high voltage charging inflection point and a high voltage charging phase (S1); acquiring a battery pack power amount corresponding to the high voltage charging inflection point and a battery pack power amount corresponding to the high voltage charging phase (S2); calculating the remaining capacity of a cell according to the battery pack power amount corresponding to the high voltage charging inflection point and the battery pack power amount corresponding to the high voltage charging phase (S3); and calculating the SOH of the cell according to the remaining capacity (S4).

Abstract: Disclosed are an automobile, and a power battery pack equalization method and device, the method comprises the following steps: acquiring a high voltage inflection point of the charging curve of a battery cell of the power battery pack and acquiring the capacity of the battery cell according to the high voltage inflection point of the battery cell, and equalizing the battery cell according to the capacity of the battery cell. Hence, equalization management of the power battery pack can be realized, thereby improving the use ratio of the power battery pack and prolonging the service life of the power battery pack.

Abstract: The present disclosure discloses an energy management system of an electric vehicle, a control method therefor, and an electric vehicle.

Abstract: A parallel device comprises a battery module, a plurality of switching units and a control module being couplable to the battery module. The battery module includes a plurality of battery groups. The plurality of switching units includes a plurality of first switches. Each of the switching units is couplable to a respective battery group in series. Each series combination of the switching unit and the respective battery group is coupled in parallel with another series combination, and each of the switching unit includes a respective first switch coupled with a load in series. The control module is configured to receive values of measured voltages across at least two battery groups, calculate a voltage difference between the two received voltage values, compare an absolute value of the voltage difference to a reference voltage to obtain a voltage comparison result, and turn ON or OFF at least one of the first switches in accordance with the comparison result.