A method of detecting safe and other states of battery while electric vehicle is being driven controls an inverter to generate ripple current on the battery; ripple voltages of a plurality of battery cells are measured, voltage phase shifts between the battery cells are calculated. The battery can be analyzed as normal or otherwise according to the voltage phase shift between plurality of the battery cells. A vehicle-mounted device and a non-volatile storage medium therein, for performing the above-described method, are also disclosed.

A battery state estimation method includes acquiring an initial value of a vector-type parameter for modeling an electrochemical-thermal (ECT) model of a battery, extracting a predetermined point from the vector-type parameter based on the initial value, generating a target parameter based on the predetermined point, to minimize an error between an actual state of the battery and a state of the battery acquired from the ECT model, and estimating the state of the battery based on the target parameter.

A battery state estimation method includes acquiring an initial value of a vector-type parameter for modeling an electrochemical-thermal (ECT) model of a battery, extracting a predetermined point from the vector-type parameter based on the initial value, generating a target parameter based on the predetermined point, to minimize an error between an actual state of the battery and a state of the battery acquired from the ECT model, and estimating the state of the battery based on the target parameter.

In a method for estimating a voltage of a battery a given electrochemical battery model is provided, wherein one parameter of the electrochemical battery model is an open circuit potential. The open circuit potential is linearized. The voltage of the battery is estimated by means of the electrochemical battery model with the linearized open circuit potential.

In a method for estimating a voltage of a battery a given electrochemical battery model is provided, wherein one parameter of the electrochemical battery model is an open circuit potential. The open circuit potential is linearized. The voltage of the battery is estimated by means of the electrochemical battery model with the linearized open circuit potential.

A method for obtaining a residual electric quantity of a battery in an electronic device includes: obtaining a present electric quantity variation of a battery within a present detection period; obtaining a maximum discharge electric quantity of the battery corresponding to a number of charging and discharging within the present detection period; and obtaining a present residual electric quantity of the battery based on the maximum discharge electric quantity and the present electric quantity variation.

Embodiments of the present invention provide a method and a device for detecting SOC of a battery. The method for detecting SOC of a battery includes: determining an initial SOC value of the battery according to a waiting time of the battery; calculating a current SOC value of the battery based on the initial SOC value and a current working current of the battery, denoting as a first SOC value. In embodiments of the present invention, the current of the battery is real-time measured and the SOC value of the battery is calculated by accumulating the current of the battery, in addition, the initial SOC value is calibrated by the waiting time, so that the error of the SOC detection result is reduced, thereby increasing accuracy of the SOC detection result.

A battery characterization system includes a drive-sense circuit (DSC), memory that stores operational instructions, and processing module(s) operably coupled to the DSC and the memory. Based on a reference signal, the DSC generates a charge signal, which includes an AC (alternating current) component, and provides the charge signal to a terminal of a battery via a single line and simultaneously to senses the charge signal via the single line to detect an electrical characteristic of the battery based on a response of the battery. The DSC generates a digital signal representative of the electrical characteristic of the battery. The processing module(s), based on the operational instructions, generate the reference signal to include a frequency sweep of the AC component of the charge signal (e.g., different frequencies at different times or multiple frequencies simultaneously) and processes the digital signal to characterize the battery across the different respective frequencies and generate spectrum analysis (SA) information of the battery.

A battery characterization system includes a drive-sense circuit (DSC), memory that stores operational instructions, and processing module(s) operably coupled to the DSC and the memory. Based on a reference signal, the DSC generates a charge signal, which includes an AC (alternating current) component, and provides the charge signal to a terminal of a battery via a single line and simultaneously to senses the charge signal via the single line to detect an electrical characteristic of the battery based on a response of the battery. The DSC generates a digital signal representative of the electrical characteristic of the battery. The processing module(s), based on the operational instructions, generate the reference signal to include a frequency sweep of the AC component of the charge signal (e.g., different frequencies at different times or multiple frequencies simultaneously) and processes the digital signal to characterize the battery across the different respective frequencies and generate spectrum analysis (SA) information of the battery.

A method for estimating a battery power percentage of a battery includes: performing a first fuel gauge operation upon the battery; and using the first fuel gauge operation to generate the battery power percentage of the battery by referring to information measured by a second fuel gauge operation performed upon the battery wherein the second fuel gauge operation is different from the first fuel gauge operation.