Through-the-road (TTR) hybrid designs using control strategies such as an equivalent consumption minimization strategy (ECMS) or an adaptive ECMS are implemented at the supplemental torque delivering electrically powered drive axle (or axles) in a manner that follows operational parameters or computationally estimates states of the primary drivetrain and/or fuel-fed engine, but does not itself participate in control of the fuel-fed engine or primary drivetrain. BSFC-type data particular to the paired-with fuel-fed engine allows an ECMS implementation (or other similar control strategy) to adapt to efficiency curves for the particular fuel-fed engine and to improve overall efficiencies of the TTR hybrid configuration.

Provided is a device for preventing sudden unintended acceleration. The device includes a driving information collector, a vehicle characteristic storage, a controller configured to determine whether the vehicle is in a sudden unintended acceleration state, and a switch configured to block input power of the electronic throttle motor of vehicle on the basis of the determination of sudden unintended acceleration by the controller.

Disclosed herein is a system capable of calculating and analyzing energy loss in each of elements that consume energy of a vehicle and of managing the safety diagnosis and the potential regeneration energy of the vehicle based on the calculated and analyzed energy losses. In accordance with the intelligent vehicle management system according to an embodiment of the present invention, whether a vehicle is normally controlled is derived. If an abnormal control is determined, a warning signal is output to the vehicle in order to notify a driver of the necessity for repair and maintenance or the engine torque of the vehicle is limited. Accordingly, an accident attributable to abnormal control can be prevented. Furthermore, the expected braking distance of a vehicle being driven is derived so that the control unit can control the vehicle to keep a safe distance between the vehicle and an adjacent vehicle. And the potential regeneration energy during deceleration is also calculated and gathered into a specific server, which is used for the design of power plant capacity or the calculation of auto tax depending on individual driver's energy abuse.

An ECU is applied to a hybrid vehicle that is equipped with an internal combustion engine and a second motor-generator, which are configured to output a driving force for running. The hybrid vehicle is configured to run with the internal combustion engine in intermittent operation. Also, the ECU is configured to calculate an amount of dilution water that is mixed into oil in the internal combustion engine to dilute the oil. The ECU is configured to operate the internal combustion engine when the amount of the dilution water becomes larger than a first threshold.

Systems and methods for using machine learning to improve control, management, and operation of vehicle systems are disclosed. A system includes a processing circuit configured to: receive information indicative of an observed state of a vehicle system from a sensor of the vehicle, the vehicle system including a fuel system; determine a predictive state of the vehicle system over a prediction horizon; determine one or more constraints for the vehicle system; execute a control problem to determine a predictive state of the vehicle system based on the one or more constraints; determine a plurality of control inputs for the vehicle system based on the executed control problem; and command the fuel system of the vehicle based on at least one of the determined plurality of control inputs.

A dual-motor mixed-hybrid powertrain system, by performing pulse modulation control, i.e., series-hybrid intelligent start-stop control or parallel-hybrid intelligent power switching control, on the instantaneous power time-varying functions of an engine and a battery pack, can convert the surface working condition of an analog electric control engine into a simpler line working condition of a digital pulse control (DPC) engine, either a pre-determined high-state line working condition in the high-efficiency combustion area or a pre-determined non-combustion low-state line working condition with zero fuel consumption and zero pollutant emissions multiplexed in time. The traditional fixed one-to-one bidirectional mapping between an engine working condition and a vehicle working condition is converted into a dynamically adjustable many-to-many bidirectional mapping to achieve the full coverage of any overall vehicle working condition, achieving decoupling between a DPC engine working condition and the overall vehicle working condition and decoupling between software and hardware of a hybrid powertrain.

A computer system comprising processing circuitry configured to control a vehicle, the processing circuitry being configured to: determine that an expected travelling route of the vehicle comprises a downhill road segment followed by an uphill road segment; predict an engine exhaust condition of an engine of the vehicle, wherein the engine exhaust condition is expected to apply while driving the vehicle along the uphill road segment; determine a target temperature criterion for an exhaust aftertreatment system of the vehicle based on the predicted engine exhaust condition; and control the vehicle during the downhill road segment such that a temperature of the exhaust aftertreatment system meets the target temperature criterion at a beginning of the uphill road segment.

An embodiment hybrid electric vehicle includes a battery, a bidirectional power conversion device connected to the battery, a battery control unit configured to output a charge power instruction when a state of charge (SOC) of the battery is a first reference value or less by determining the SOC of the battery in a battery power output mode in which power of the battery is output to the outside through the bidirectional power conversion device, an engine control unit configured to drive an engine when the SOC of the battery is the first reference value or less, and a motor control unit configured to, when the charge power instruction is received, drive a motor such that the motor generates electricity using power from the engine and the battery is charged based on the received charge power instruction.

A computer system controls a powertrain system of a vehicle. The computer system has processing circuitry configured to selectively operate the powertrain system in a number of operational modes, comprising at least a freewheeling mode, in which an output shaft of the engine is non-rotating, and the engine is disconnected from the one or more drive wheels, wherein the processing circuitry is further configured to: predict fuel saving in response to a potential up-coming freewheeling mode period, the fuel saving being determined from engine-idle fuel consumption data; predict a loss of kinetic energy for restarting the engine in the freewheeling mode using a controllable clutch; predict fuel consumption needed to regain the predicted loss of kinetic energy; compare the predicted fuel saving with the predicted fuel consumption; determine to control the powertrain system into the freewheeling mode based on the comparison; and control the powertrain system into the freewheeling mode.

Managing a vehicle body including computing an efficiency value of a monitoring target, the monitoring target being the power train or a part or a subsystem of the power train, on the basis of information about the vehicle body, the information being sensed by a sensor provided to the vehicle body. An output terminal that outputs the efficiency value of the monitoring target. Determining whether a load parameter is larger than a load determination value set in advance, and computing the efficiency value of the monitoring target on the basis of input energy and output energy of the monitoring target on condition that the load parameter be larger than the load determination value, and recording the computed efficiency value of the monitoring target.