A process to control a drive assembly includes the steps of providing a mathematical model associating a first quantity indicative of a torque delivered by a motor-generator with a second quantity indicative of a linear acceleration of a wheel hub unit, which receives the torque, acquiring a first signal indicative of the second quantity, determining a target signal of the first quantity by means of the mathematical model based on the acquired first signal, so that the torque indicated by the target signal involves at least a decrease in a difference between the second quantity and a reference, and controlling the motor-generator according to the determined target signal.

A power system for a vehicle includes a control module, a low-voltage battery electrically coupled to the control module, a high-voltage battery electrically coupled to the control module, an engine electrically coupled to the high-voltage battery, and a computer. The computer is programmed to, while the vehicle is in an off state, in response to a pending download to the control module, provide power to the control module with one of the low-voltage battery, the high-voltage battery, or the engine upon determining whether the low-voltage battery and the high-voltage battery have sufficient charge to power the control module for the download.

A battery management system includes one or more processors, a battery comprising a plurality of cells, an output device, an input device, and a memory having an input module, a battery characteristic prediction module, and an output module. The input module includes instructions that cause the one or more processors to receive a mode selection from a user via the input device. The battery characteristic prediction module includes instructions that cause the one or more processors to predict a characteristic of the battery based on the mode selection using an active machine learning model to predict the characteristic of the battery. The output module includes instructions that cause the one or more processors to output an estimated cost to the output device based on the characteristic of the battery determined by the active machine learning model.

A system, method and computer program product for communicating data of a vehicle. The system includes a data recording device and a data transmitting device coupled to the vehicle. The data recording device is configured to receive at least a vehicle datum during operation of the vehicle, determine a subset of the at least a vehicle datum to be stored, wherein the subset of data is stored during operation of the vehicle, and store the subset of the at least a vehicle datum as a stored vehicle data, wherein the stored vehicle data comprises a diagnostic datum of a vehicle component. The data transmitting device is configured to initiate communication with an independent data communication device as a function of a connection to a network and transmit the stored vehicle data to the independent data communication device as a function of the connection to the network.

A method for temperature control of a traction battery includes predefining a target temperature which the traction battery should have at the end of a journey and upon arrival at a fast-charging station; predicting a temperature which the traction battery will have at the end of the journey and upon arrival at the fast-charging station; determining a temperature difference between the target temperature and the predicted temperature; predefining a temperature control specification for temperature control of the traction battery during the journey of the motor vehicle to the fast-charging station in accordance with the determined temperature difference, so that the target temperature prevails upon arrival at the fast-charging station; and controlling the temperature of the traction battery according to the predetermined temperature control specification during the journey of the vehicle.

A method for temperature control of a traction battery includes predefining a target temperature which the traction battery should have at the end of a journey and upon arrival at a fast-charging station; predicting a temperature which the traction battery will have at the end of the journey and upon arrival at the fast-charging station; determining a temperature difference between the target temperature and the predicted temperature; predefining a temperature control specification for temperature control of the traction battery during the journey of the motor vehicle to the fast-charging station in accordance with the determined temperature difference, so that the target temperature prevails upon arrival at the fast-charging station; and controlling the temperature of the traction battery according to the predetermined temperature control specification during the journey of the vehicle.

A vehicle control unit for an electrically powered vehicle unit, the vehicle control unit comprising at least one input port arranged to receive data associated with a status of one or more electrical system components , the vehicle control unit comprising an output port arranged to trigger a warning signal by an acoustic vehicle alerting system, AVAS, wherein the vehicle control unit is arranged to detect onset of an electrical system fault condition based on the received data, and to trigger a warning signal by the AVAS in case an electrical system fault condition is detected.

A vehicle control unit for an electrically powered vehicle unit, the vehicle control unit comprising at least one input port arranged to receive data associated with a status of one or more electrical system components , the vehicle control unit comprising an output port arranged to trigger a warning signal by an acoustic vehicle alerting system, AVAS, wherein the vehicle control unit is arranged to detect onset of an electrical system fault condition based on the received data, and to trigger a warning signal by the AVAS in case an electrical system fault condition is detected.

One embodiment of the present disclose describes systems and methods responsible for reducing errors in a battery model used in the operation of a battery control system. The battery control system may operate based on a modeled response of the battery derived from the battery model. If the battery model is not calibrated/validated, errors in the battery model may propagate through the modeled response of the battery to the operation of the battery control system. A calibration current pulse may result in a different measured response of the battery than the modeled response of the battery to the same calibration current pulse. A validation technique, which uses a difference between the modeled response and the measured response of the battery to the calibration current pulse as a method to calibrate the battery model, may protect the battery control system from the contribution of errors from an uncalibrated battery model.

One embodiment of the present disclose describes systems and methods responsible for reducing errors in a battery model used in the operation of a battery control system. The battery control system may operate based on a modeled response of the battery derived from the battery model. If the battery model is not calibrated/validated, errors in the battery model may propagate through the modeled response of the battery to the operation of the battery control system. A calibration current pulse may result in a different measured response of the battery than the modeled response of the battery to the same calibration current pulse. A validation technique, which uses a difference between the modeled response and the measured response of the battery to the calibration current pulse as a method to calibrate the battery model, may protect the battery control system from the contribution of errors from an uncalibrated battery model.