A method of predicting a remaining battery life in a device is provided. The method includes obtaining battery state information indicative of a current state of a charge of a battery, the battery being configured to supply power to a device; predicting, by using a machine learning algorithm, a remaining battery life of the device on which a specific application is to be executed, based on the obtained battery state information; and providing, to a user, an indication of the predicted remaining battery life.

A vehicle with a Geo-Fenced Ride Control System including: one or more battery modules including one or more battery cells; one or more processors operably connected to the one or more battery cells to control vehicle performance; and a Global Positioning System (GPS) or cellular network receiver configured to determine location of the vehicle; wherein the one or more processors communicates with a remote sever to determine a plurality of available vehicle performance settings for the vehicle based on the location of the vehicle. The vehicle further includes a user input interface configured to receive user input including selection of the vehicle performance setting form the plurality of available vehicle performance settings based on the geographic location of the vehicle.

A test system includes a test and measurement instrument having one or more inputs for receiving one or more signals to be measured or tested, a display for outputting measurement results or test results, one or more processors for operating the instrument, a chassis housing the instrument, a power connection to receive power for powering the one or more processors from a wall connection. The test system further includes an external battery pack separate from the test and measurement instrument and structured to mechanically and electrically couple to and decouple from the test and measurement instrument, the external battery pack including a DC power source for powering the one or more processors. The test and measurement instrument includes no batteries or other power storage device for powering the one or more processors within the chassis of the instrument.

A method and apparatus for measuring the remaining power level of a device. The state of flag bits are detected, a password is calculated when a first flag bit is set, the password is displayed to reset the first flag bit, and the detection of the state of the flag bits is returned to; the total power consumption is calculated when a second flag bit is set, the remaining power level is updated on the basis of the total power consumption and of a second preset value, the second flag bit is reset, and the detection of the state of the flag bits is returned to. The present invention implements increased precision in measuring the remaining power level without additional component, accurately reflects the actual value of the remaining power level of a battery, and incurs no additional power consumption. This does not affect the service life of the device and is inexpensive.

A power indication circuit for indicating different power levels of a battery, can include: N LED indicators; N setting resistors; N multifunction ports; a drive circuit coupled to the N multifunction ports and the battery, and being configured to acquire N threshold voltage signals in accordance with voltages at the N multifunction ports during a first time period of an operation cycle, and to generate N comparison signals in accordance with the N threshold voltage signals and a voltage detection signal generated by detecting a voltage of the battery, in order to drive the N LED indicators in accordance with the N comparison signals during a second time period of the operation cycle; and where each of the N setting resistors coupled in parallel to a corresponding one of the N LED indicators is respectively coupled to a corresponding one of the N multifunction ports.

An electrically-driven vehicle includes a power storage device that stores power to be supplied to a motor, and a controller that controls output of the power storage device. The controller estimates a SOC of the power storage device. The controller detects output power of the power storage device and calculates an output power upper limit value of the power storage device by using the SOC when a voltage of the power storage device reaches a lower limit voltage during discharge of the power storage device. The controller stops the electrically-driven vehicle in the case where the detected output power is lower than the output power upper limit value.

A refuse vehicle including a chassis, a body assembly coupled to the chassis, the body assembly defining a refuse compartment, an electric energy system configured to store power and supply power to the refuse vehicle, and a power control system configured to measure one or more electrical attributes of the refuse vehicle and determine a power profile for the refuse vehicle, the power profile describing a length of time the refuse vehicle can continue to operate based on a remaining power of the electrical energy system, and wherein the power control system controls operation of a lift assembly of the refuse vehicle based on the power profile.

The present disclosure discloses a method for identifying a cell, including: determining, for a cell under test during a charge and discharge process, a number N of measured values of OCV and a number N of net cumulative throughputs corresponding to the number N of measured values of OCV; for an i.sup.th target cell, obtaining a number N of calculated values of OCV corresponding to the number N of measured values of OCV, and obtaining an OCV mean square error between the number N of measured values of OCV and the number N of calculated values of OCV; and determining that the cell under test is the i.sup.th target cell, when the OCV mean square error between the cell under test and the i.sup.th target cell is a minimum mean square error among a number M of OCV mean square errors.

System and method for battery runtime forecasting, including identifying a power usage of a IHS; identifying a charge profile of a battery of the IHS, the charge profile including charging levels each associated with a respective time period; determining a state of charge of the battery based on a current time; identifying power delivery capabilities of a power source providing power to the battery; generating a predicted relative state of charge (RSOC) profile of the battery based on i) the power usage of the IHS, ii) an entirety of the charge profile of the battery, iii) the state of charge of the battery, and iv) power delivery capabilities of the power source; and identifying a runtime estimate of the battery.

A system for battery management for electric aircraft batteries includes an energy storage system configured to provide energy to the electric aircraft via a power supply connection, the energy storage system including: a battery pack, a sensor configured to detect a condition parameter of the battery pack and generate a battery datum based on the condition parameter, a pack monitoring unit (PMU) configured to receive the battery datum, and a high voltage disconnect configured to terminate the power supply connection between the battery pack and the electric aircraft; a high voltage bus electrically connected to the high voltage disconnect; a primary functional display configured to display information based on battery datum; and a first controller area network (CAN) bus and a second CAN bus communicatively connected to the PMU, the high voltage bus, and the primary functional display.