A battery pack diagnosing device mediating signal communication between a battery pack and a user terminal includes a controller generating a wake-up signal based on a user input to a third switch and transmitting the generated wake-up signal to the battery pack, and establishing a communication connection according to a first communication method with the battery pack turned on based on the wake-up signal and receiving state information of the battery pack through the established communication connection.

A method for monitoring one or more characteristics of an ultracapacitor is provided. The method includes obtaining a plurality of voltage measurements. Each of the voltage measurements can be obtained sequentially at one of a plurality of intervals. Furthermore, each of the voltage measurements can be indicative of a voltage across the ultracapacitor. The method can include determining an actual voltage step of the ultracapacitor based on two consecutive voltage measurements of the plurality of voltage measurements. The method can further include determining whether the actual voltage step exceeds a threshold voltage step of the ultracapacitor. Furthermore, in response to determining the actual voltage step exceeds the threshold voltage, the method can include providing a notification associated with performing a maintenance action on the ultracapacitor.

A system for self-discharge prognostics for vehicle battery cells with an internal short circuit includes a plurality of battery cells and a voltage sensor providing open-circuit voltage data over time for each battery cell. The system further includes a computerized prognostic controller operating programming to monitor the open-circuit voltage data over time for each of the plurality of battery cells and evaluate a voltage drop rate through a time window for each of the plurality of battery cells based upon the open-circuit voltage data. The controller further identifies one of the plurality of battery cells to include the internal short circuit based upon the voltage drop rate and signals an alert based upon the one of the plurality of battery cells including the internal short circuit.

A vehicle battery charger and a vehicle battery charging system are described and illustrated, and can include a controller enabling a user to enter a time of day at which the vehicle battery charger or system begins and/or ends charging of the vehicle battery. The vehicle battery charger can be separate from the vehicle, can be at least partially integrated into the vehicle, can include a transmitter and/or a receiver capable of communication with a controller that is remote from the vehicle and vehicle charger, and can be controlled by a user or another party (e.g., a power utility) to control battery charging based upon a time of day, cost of power, or other factors.

Techniques are described for monitoring the degradation of electrochemical cells. A battery monitoring system monitors, for each of one or more cells of a plurality of cells in a battery, an amount of mechanical deformation using one or more measuring devices. The battery monitoring system determines a number of cells of the plurality of one or more monitored cells for which the monitored amount of mechanical deformation exceeds a deformation threshold. The battery monitoring system determines whether the determined number of cells exceeds a threshold number of cells with an amount of mechanical deformation exceeding the deformation threshold. Responsive to determining the determined number of cells exceeds the threshold number of cells, the battery monitoring system sends a notification that the battery is degraded beyond an acceptable limit.

Techniques are described for monitoring the degradation of electrochemical cells. A battery monitoring system monitors, for each of one or more cells of a plurality of cells in a battery, an amount of mechanical deformation using one or more measuring devices. The battery monitoring system determines a number of cells of the plurality of one or more monitored cells for which the monitored amount of mechanical deformation exceeds a deformation threshold. The battery monitoring system determines whether the determined number of cells exceeds a threshold number of cells with an amount of mechanical deformation exceeding the deformation threshold. Responsive to determining the determined number of cells exceeds the threshold number of cells, the battery monitoring system sends a notification that the battery is degraded beyond an acceptable limit.

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.

An equipment management method comprises a step A of predicting, at an equipment management apparatus, occurrence of a first abnormality which is an abnormality occurred in a fuel cell system and not predicted by the fuel cell system; and a step B of transmitting, at the equipment management apparatus, a message associated with a prediction for the occurrence of the first abnormality when the occurrence of the first abnormality is predicted.

An equipment management method comprises a step A of predicting, at an equipment management apparatus, occurrence of a first abnormality which is an abnormality occurred in a fuel cell system and not predicted by the fuel cell system; and a step B of transmitting, at the equipment management apparatus, a message associated with a prediction for the occurrence of the first abnormality when the occurrence of the first abnormality is predicted.