In one aspect, a system and method for battery conditioning of a vehicle are disclosed. The system comprises receivers configured to collect driving route information of the vehicle, battery state information of the vehicle and battery conditioning mode setup state information, and a controller configured to determine whether or not the vehicle enters battery conditioning control based on the driving route information of the vehicle, the battery state information of the vehicle and the battery conditioning mode setup state information received from the receivers and to control a battery temperature adjuster so as to adjust a temperature of the battery in advance before charging the battery during the battery conditioning control.

The disclosure relates to an eco-friendly vehicle and a method of controlling the eco-friendly vehicle, and optimizing the temperature of the battery of the eco-friendly vehicle towing the vehicle to be towed. The method of controlling the eco-friendly vehicle includes measuring, by a controller, a temperature of a battery during towing driving while a vehicle to be towed is connected, applying, by the controller, the measured battery temperature to a predetermined function to obtain a trend of battery temperature change, predicting, by the controller, a point in time when the temperature of the battery exceeds a predetermined reference temperature based on the trend of battery temperature change, and starting, by the controller, cooling the battery before reaching the predicted excess point.

An electric vehicle thermal management system and method utilizing power demand models for both propulsion and auxiliary systems, and an intelligent thermal load management module. A navigation unit formulates potential routes to a destination that is either set by a driver or predicted by a drive cycle prediction module. The routes are used to inform the propulsion power demand model, while historical driving patterns based on GPS data and time-dependent climate inputs inform the auxiliary power demand model. The expected power demands for the individual systems and overall combined system are accounted for in calculations performed by optimization algorithms in an intelligent thermal load management module. The calculations produce desired temperature setpoints which send heating and cooling requests to refrigerant and coolant fluid handlers and subsequent actuators that control the refrigerant and coolant fluid loops.

There is disclosed in one example an apparatus, including: a hardware platform including a processor and a memory; and instructions encoded within the memory to instruct the processor to: receive stored performance data for an aircraft battery, the stored performance data including data that correlate power density to temperature and remaining charge; simulate a planned flight for an aircraft, including predicting a plurality of temperature and remaining charge values; and direct operation of a heat exchange apparatus to precondition the battery to a selected temperature before the planned flight.

In an aspect of the present disclosure is a system for in-flight re-routing of an electric aircraft including a battery pack configured to provide electrical power to the electric aircraft; a sensor configured to detect at least a temperature metric of the battery pack and generate a temperature datum based on the at least a temperature metric; a controller communicatively connected to the sensor, the controller configured to: receive the temperature datum from the sensor; and re-route the electric aircraft based on the temperature datum.

This disclosure describes systems and methods for limiting the functionality of remote start systems within vehicles. Remote start operations may be limited, for example, in response to exceeding one or more remote start limits. Limiting the remote start operations may include either preventing the initiation of a remote start request or ending an already in-progress remote start operation.

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 charging control apparatus includes: a prediction unit configured to predict a change in temperature of a battery over time during charging; a calculation unit configured to calculate, based on the change in temperature over time predicted by the prediction unit, a degree of influence that the battery receives from the temperature of the battery exceeding a predetermined upper-limit temperature control value; and a charging control unit configured to allow the temperature of the battery to exceed the upper-limit temperature and charge the battery when the degree of influence is less than a predetermined reference value.

Disclosed is a traction battery self-heating control method and a device. Acquiring a second temperature of a rotor at a current sampling time according to system parameters and a first temperature of the rotor at a previous sampling time, and estimating a third temperature of the rotor at a next sampling time according to the first temperature and the second temperature, and stopping the self-heating of the traction battery when the third temperature reaches a demagnetization temperature of the rotor. Whether to stop the self-heating of the traction battery is determined by estimating a rotor temperature under the self-heating condition, and comparing the rotor temperature with the demagnetization temperature of the rotor, and thus the self-heating control of the traction battery is realized.

A vehicle may include an engine, a traction battery, an electric motor, an electric cooling system, and a controller. The electric motor selectively converts torque from the engine to electric power and converts electric power from the traction battery to drive torque for the vehicle. The electric cooling system, responsive to a temperature of the traction battery exceeding a first threshold, cools the traction battery using the electric power. The controller, responsive to the temperature exceeding a second threshold less than the first threshold and accessory loads exceeding a third threshold, operates one or both of the engine and traction battery to maintain the temperature below the first threshold.