Methods and systems are provided for a drivetrain system comprising: a first prime mover for supplying a torque to a front axle; a second prime mover for supplying a torque to a rear axle; and a controller configured to, in response to a torque reversal, command the front axle and the rear axle to cross lash zones sequentially.

A system for controlling vehicle power using big data is provided. The system includes a big data server that receives vehicle driving related data, processes and analyzes the received data to generate a driving power pattern of the vehicle, and stores the driving power pattern. A vehicle controller determines whether to limit charging/discharging power of a battery based on continuous charging/discharging time or an accumulation amount of continuous charging/discharging power of the battery and calculates battery charging/discharging power to be limited based on the driving power pattern received from the big data server when the charging/discharging power of the battery is limited.

A charging management device for vehicle and a method thereof are provided. The charging management device includes a user DB constructed based on a pattern where a user uses a wireless charging road. A power network state identifying device identifies a power network state of the wireless charging road and a battery state identifying device identifies a battery state of a vehicle. A controller then generates a charging schedule with regard to a user profile, the power network state of the wireless charging road, and the battery state of the vehicle and adjusts battery charging based on the generated charging schedule.

A vehicle including an electric motor has improved operating performance of a brake lamp using regenerative braking. A method of controlling a brake lamp of the vehicle includes determining a tendency of a driver, calculating a corrected mass based on the determined tendency of the driver, and calculating corrected acceleration based on the corrected mass and regenerative braking torque of the electric motor. An on threshold is corrected based on a difference between a requested torque and the regenerative braking torque at a time at which an accelerator pedal is released, and the brake lamp is turned on based on the corrected on threshold and the corrected acceleration.

A network of collection, charging and distribution machines collect, charge and distribute portable electrical energy storage devices. To charge, the machines employ electrical current from an external source. As demand at individual collection, charging and distribution machines increases or decreases relative to other collection, charging and distribution machines, a distribution management system initiates redistribution of portable electrical energy storage devices from one collection, charging and distribution machine to another collection, charging and distribution machine in an expeditious manner. Also, redeemable incentives are offered to users to return or exchange their portable electrical energy storage devices at selected collection, charging and distribution machines within the network to effect the redistribution.

A network of collection, charging and distribution machines collect, charge and distribute portable electrical energy storage devices (e.g., batteries, supercapacitors or ultracapacitors). To charge, the machines employ electrical current from an external source, such as the electrical grid or an electrical service of an installation location. By default, each portable electrical energy storage device is disabled from accepting a charge unless it receives authentication information from an authorized collection, charging and distribution machine, other authorized charging device, or other authorized device that transmits the authentication credentials. Also, by default, each portable electrical energy storage device is disabled from releasing energy unless it receives authentication information from an external device to which it will provide power, such as a vehicle or other authorization device.

A device for controlling a battery for a vehicle is provided to maintain a battery temperature representing the optimal charging efficiency when the battery reaches a charging time point. The device determines the charging time point of a battery used in a hybrid vehicle and an electric vehicle, and adjusts the battery temperature based on a status of charge (SoC) of the battery at the determined charging time point.

An information processing apparatus includes a processor. The processor is configured to estimate whether a fellow passenger is included in occupants of a vehicle, when the fellow passenger is included in the occupants, acquire information relating to a driver of the vehicle and information relating to the fellow passenger, estimate a relationship between the driver and the fellow passenger based on the acquired information, and select a control relating to traveling of the vehicle according to the relationship.

The server acquires first data concerning a load applied to a body of an electric mobile apparatus, acquires second data concerning the performance of a storage battery mounted on the mobile apparatus, calculates a remaining lifetime of the body on the basis of the first data, calculates a remaining lifetime of the battery on the basis of the second data, compares the remaining lifetime of the body with the remaining lifetime of the storage battery, and instructs at least one of an activation of an unused function and an enhancement of a used function among a plurality of functions consuming the electric power of the mobile apparatus when the remaining lifetime of the body is shorter than the remaining lifetime of the storage battery.

A battery manager includes a pattern estimator, a prediction engine, and a charging scheduler. The pattern estimator estimates a driving pattern of an electric vehicle. The prediction engine predicts a charging parameter based on at least one of the driving pattern or driver charging behavior. The charging scheduler outputs the charging parameter to control charging of a secondary battery of the electric vehicle. The pattern estimator may estimate the driving pattern based on information from at least one information source of the electric vehicle. The prediction engine predicts the charging parameter of the secondary battery in preparation of a future use of the electric vehicle.