A method for determining an internal-resistance based state-of-health of a battery in a device includes determining the internal-resistance based state-of-health of the battery using a hybrid state-of-health model including a physical ageing model and a correction model by (i) determining, based on an electrochemical battery model, a physical state-of-health according to one or more operating parameters of the battery using the physical ageing model, (ii) mapping operating features derived from the one or more operating parameters onto a correction parameter using the correction model that includes a data-based configuration, and (iii) applying the correction parameter to the physical state of health to determine the internal-resistance based state-of-health. The method further includes determining a modeled battery voltage, and determining a characteristic of the modeled battery voltage using an adaptation model.

A display device includes an acquisition unit that acquires an estimated cruising range obtained using remaining charge of a battery that supplies electric power to a traction motor of a vehicle, a first display portion that displays a gauge that, with regard to an electric mileage difference between a specific electric mileage that is an electric mileage at a particular timing during traveling of the vehicle and a reference electric mileage, changes in accordance with change in a cumulative value in which the electric mileage difference at one or more of the particular timing is accumulated, a second display portion that displays the estimated cruising range of the vehicle, and a display control unit that changes the gauge of the first display portion, and when the cumulative value is no less than a predetermined value, displays, in the second display portion, information indicating increasing the estimated cruising range.

According to an embodiment of the present disclosure, a driving force control apparatus for a vehicle includes: a front-wheel driver; a rear-wheel driver; a wheel speed detector; a wheel vibration calculator; an estimated speed calculator that calculates an estimated vehicle speed of the vehicle; a slip-rate calculator that calculates a slip rate of each wheel; and a driving controller that reduces a driving force of the front wheel driver or the rear wheel driver when a slip rate of each wheel is greater than a preset slip rate value. The estimated speed calculator determines that the estimated vehicle speed is greater than an actual speed of the vehicle when the vibration value calculated by the wheel vibration calculator is greater than a preset vibration value.

Provided is a controller configured: to calculate, among voltages detected from a plurality of cells, a voltage difference between the voltage detected from one cell of the plurality of cells, the one cell to be detected, and a representative voltage at each of a first time and a second time, the representative voltage based on the voltage detected from at least one cell of the plurality of cells, the at least one cell to be compared; and when a discrepancy between the voltage difference at the first time and the voltage difference at the second time is equal to or more than a threshold, to determine that an abnormality has occurred in the one cell to be detected. The controller refers to a state-of-charge versus open-circuit-voltage (SOC-OCV) curve of the one cell to be detected in accordance with a state-of-health (SOH) of the one cell to be detected, so as to estimate an SOC as initial capacitance reference of the one cell to be detected in correspondence to the voltage detected from the one cell to be detected. The controller introduces a linear function using an SOC as initial capacitance reference as an input variable, using an OCV as an output variable, and having a predetermined inclination, and applies the SOC as initial capacitance reference of the one cell to be detected that the controller has estimated to the linear function, so as to derive an OCV. Then, in place of the voltage detected from the one cell to be detected, the controller uses the OCV that the controller has derived, so as to calculate the voltage difference at the first time and the voltage difference at the second time.

A system, method and computer program product for controlling energy consumption in a vehicle during driving of a route. The method includes determining an energy consumption strategy for the route, wherein the energy consumption strategy includes a total energy budget for a plurality of energy consuming vehicle components; determining a value of an actual consumed total energy at at least a first route position along the route; determining a difference value based on a difference in the actual consumed total energy value and a predicted consumed total energy value; and determining an altered operation of at least one of the plurality of energy consuming vehicle components.

The invention mainly relates to a method for controlling a rotating electrical machine (21) of a motor vehicle, the motor vehicle comprising a thermal drive chain (10) comprising a heat engine (11) connected to a gearbox (12) by means of a clutch (13), said electrical machine being integrated in the thermal drive chain or in a drive chain independent of the heat engine, characterised in that, when the clutch (13) is open and the rotating electrical machine (21) operates in motor mode in order to ensure the electrical operation of the motor vehicle, said method comprises:—a step of generating a setpoint torque (Tcons) corresponding to a desire of the driver to accelerate;—a step of determining a pulsed compensation torque (Tcomp) for torque oscillations (Tosc) generated by the drive chain (10);—a step of combining the setpoint torque (Tcons) and the previously determined pulsed compensation torque (Tcomp) in order to obtain a resulting modified setpoint torque (Tcons′); and—a step of applying the resulting modified setpoint torque (Tcons′) to the rotating electrical machine (21).

A contactless motor vehicle-charging device which, as components, includes a primary side and a secondary side, between which, via at least one air gap, energy can be transferred via inductive and/or capacitive coupling, and each of the components in each case includes at least a portion of a control circuit of the contactless motor vehicle-charging device, wherein at least one of the components includes a field controller and at least one of the components comprises a field measurement device which is designed to acquire a magnetic and/or electric field strength, wherein the field controller is designed to use in at least one control operation the acquired field strength as an actual value and, by this actual value and a predetermined setpoint value, to set at least one field strength of the contactless motor vehicle-charging device as a control variable.

A method for controlling a motor configured to provide propulsion for a mobile platform includes determining whether to activate a preheat mode based on a temperature of a motor and, upon determining to activate the preheat mode, controlling a preheat current provided to the motor to enable self-preheating of the motor.

A driving force controller for vehicle includes a driving force calculator and a driving controller. The driving force calculator calculates an instructed driving force, and includes a first determination unit that determines whether or not a predicted driving force satisfies a first condition. The predicted driving force assumes that the instructed driving force calculated on a first control cycle is changed at a rate of change calculated on the first control cycle, until a second control cycle. The first condition includes that a range between the instructed driving force calculated on the first control cycle and the predicted driving force at least partly cover a first range including a zero driving force. The driving force calculator imposes limitation on the rate of change in the instructed driving force to be calculated in the second control cycle, on the condition that the first condition is satisfied.

The present disclosure discloses a method for dual-motor control on an electric vehicle based on adaptive dynamic programming. First, total torque required is calculated based on obtained data information of the electric vehicle under various driving conditions, and offline training is conducted on an execution network and an evaluation network. Then total torque is dynamically distributed for two motors of the electric vehicle under various driving conditions to obtain an efficiency MAP database. Afterwards, iteration and online learning are conducted on the execution network and the evaluation network based on data information of the electric vehicle under different driving conditions that is obtained in real time, so as to find an optimal control law for the electric vehicle under a real-time driving condition. In this way, the dual-motor control on the electric vehicle is optimized.