A method of detecting a thermal event associated with a battery assembly of an electrified vehicle includes, among other things, obtaining a temperature reading from a sensor associated with an area of the battery assembly, assessing whether the sensor is flagged with a first identifier or a second identifier. The first identifier indicates that the temperature reading is reliable. The second identifier indicates that the temperature reading is unreliable. If the sensor is flagged with the first identifier, the method detects a thermal event associated with the battery assembly based on the temperature reading from the sensor.

A method for predicting a state-of-power, SoP, of an electric energy storage system, ESS, comprising at least two battery units electrically connected in parallel. The method includes obtaining operational data from the at least two battery units of the ESS during operation of the ESS; computing the state-of-power of the ESS based on the obtained operational data and by using an algorithm based on a system-level model of the ESS, wherein the system-level model of the ESS takes into account on one hand each one of the at least two battery units of the ESS, and on the other hand at least one electrical connection between the at least two battery units, and wherein the system-level model of the ESS further takes into account a dynamic parallel load distribution between the at least two battery units.

The invention relates to an energy storage comprising a plurality of series connectable energy modules connected to a string via a plurality of switches. Wherein a string controller controls which of the energy modules that are part of a current path through the string by control of the status of the switches. An energy storage monitoring system is monitoring an energy storage element operating parameter of an energy module, the energy storage monitoring system comprises: a current sensor and a plurality of energy module print. The plurality of energy module prints establishes an energy module operating parameter of the associated energy module. The current sensor establishes the current in the current path. The string controller is configured for by-passing an energy module based on information of status of the switches, the measured current in the current path and the battery operating parameter measured at the energy modules.

In one aspect, computer-implemented method may include receiving, from a cloud-based computing system, one or more machine learning model parameters that are configured to enable predicting a remaining useful life of each cell of a battery pack of a vehicle. The method may include loading, into memory of a processing device at the vehicle, the one or more machine learning model parameters, receiving data comprising one or more measurements and one or more user battery usage profiles, and based on the data, executing a trained machine learning model with the one or more parameters to input the data and to output the remaining useful life of each cell of the battery pack.

Systems, methods, and storage media for generating a predicted discharge profile of a vehicle battery pack are disclosed. A method includes receiving, by a processing device, data pertaining to cells within a battery pack installed in each vehicle of a fleet of vehicles operating under a plurality of conditions, the data received from at least one of each vehicle in the fleet of vehicles, providing, by the processing device, the data to a machine learning server, directing, by the processing device, the machine learning server to generate a predictive model, the predictive model based on machine learning of the data, generating, by the processing device, the predicted discharge profile of the vehicle battery pack from the predictive model, and providing the discharge profile to an external device.

A mobile surface maintenance machine embodiment includes a mobile body, a solution tank for containing a cleaning fluid, wheels for supporting the mobile body, a maintenance tool(s), an output channel, an electric power source, a first electric motor, and a pressure washer. The pressure washer includes a spray wand, a pressure pump, and a second electric motor. The pressure pump is fluidly coupled to the spray wand and to the solution tank. The pressure pump is configured to pressurize the cleaning fluid supplied to the spray wand. The second electric motor is operatively coupled to and configured to drive the pressure pump. The second electric motor is configured to receive electric power from the electric power source and is commonly powered by the electric power source that provides power to the first electric motor. The second electric motor is separate from the first electric motor.

A mobile surface maintenance machine embodiment includes a mobile body, a solution tank for containing a cleaning fluid, wheels for supporting the mobile body, a maintenance tool(s), an output channel, an electric power source, a first electric motor, and a pressure washer. The pressure washer includes a spray wand, a pressure pump, and a second electric motor. The pressure pump is fluidly coupled to the spray wand and to the solution tank. The pressure pump is configured to pressurize the cleaning fluid supplied to the spray wand. The second electric motor is operatively coupled to and configured to drive the pressure pump. The second electric motor is configured to receive electric power from the electric power source and is commonly powered by the electric power source that provides power to the first electric motor. The second electric motor is separate from the first electric motor.

The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

Disclosed herein are systems and methods for overvoltage protection. A system, such as a vehicle, for overvoltage protection of a supercapacitor system for an electric vehicle, the system includes a plurality of supercapacitor groups, each supercapacitor group comprising two or more of the plurality of supercapacitors. The system includes a plurality of overvoltage protector units, each the plurality of overvoltage protector units operable to detect the voltage of each of the two or more supercapacitors within the respective one of the supercapacitor groups. The system includes a controller comprising a processor with access to a memory, wherein the control system is operable to determine which of the plurality of supercapacitor groups to connect to the electric vehicle based on data sent from the respective overvoltage protector units.

Disclosed herein are systems and methods for energy management. A system, such as a vehicle, includes a plurality of energy storage units that include a supercapacitor and an electrochemical battery. The system includes plurality of energy storage units including a supercapacitor and an electrochemical battery, the supercapacitor comprising a plurality of selectable power sources. The system includes a processor configured to detect a connection of an external charging system to recharge at least one of a supercapacitor and the electrochemical battery, wherein the supercapacitor comprises selectable power sources; in response to detecting the connection of the external charging system, determine whether a fault exists and is associated with at least one of charging or discharging; and control the charging the supercapacitor based on whether the fault exists.