Disclosed is a vehicle fuel economy evaluation method based on data analysis. The method combines data processing and a fuel model with an enhanced learning mechanism to predict fuel consumption, analyze driving behavior and output an improvement suggestion. With continuous enhanced learning and long-term dynamic improvement, the model will be able to predict economic fuel consumption in an increasingly accurate way, along with specific and intuitive driving behavior suggestions to help drivers to drive economically.

Systems, methods, and apparatuses for improving predictive cruise control and predictive engine off coasting for a vehicle are provided. An apparatus includes one or more processing circuits having one or more memory devices coupled to one or more processors, the one or more memory devices configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to: receive look ahead information and store the look ahead information in the one or more memory devices; receive vehicle information regarding operation of a vehicle including an engine; determine a coasting opportunity for the vehicle based on the look ahead information and the vehicle information; modulate a cruise control set speed based on the determined coasting opportunity; and turn the engine off during the determined coasting opportunity for the vehicle based on modulation of the cruise control set speed.

An apparatus for preventing rolling of a vehicle operating in an automatic vehicle hold mode includes a reset determination unit configured to determine whether an automatic hold controller controlling an operation of the automatic vehicle hold mode has been reset, a mode determination unit configured to determine whether a mode of the vehicle is the automatic vehicle hold mode when it is determined that the automatic hold controller has been reset, and a vehicle control unit configured to brake the vehicle, based on at least one of a gear position, an opening degree of an accelerator pedal, and whether a brake pedal is operated, when it is determined that the mode of the vehicle is the automatic vehicle hold mode.

In a cruise control method and a cruise control apparatus for a manual transmission vehicle, upon receiving a signal from an input device to start a cruise mode, a cruise control controller calculates an optimal gear stage for satisfying a target cruise traveling speed according to a traveling state of a vehicle, and a display device displays the calculated optimal gear stage to the driver to induce the driver to shift to the optimal gear stage. In addition, whether the gear stage by the driver's operation has matched the optimal gear stage may be determined within a predetermined time to determine whether a cruise control continues according to the determination result, thereby eliminating the driver's inconvenience due to frequent cancellation of the cruise mode.

The control device for a hybrid vehicle includes: a mechanical power source; an electric motor to be used when the mechanical power source is started; a first clutch arranged between the mechanical power source and a first transmission mechanism including a plurality of gear shift stages; a second clutch arranged between the mechanical power source and a second transmission mechanism including a plurality of gear shift stages; an electrical power source coupled to an input shaft of the first transmission mechanism; and a control unit for controlling a torque of at least one of the second clutch or the electric motor so as to compensate a braking force decreased upon a gear shift in the electrical power source when a gear shift request for shifting the gear shift stage of the first transmission mechanism is made during a regeneration travel of the electrical power source.

A system and method for controlling backlash in a vehicle powertrain includes the step of controlling a torque request of the powertrain with a first control strategy after an occurrence of a backlash predictor and before an occurrence of a backlash. Another step may be employed whereby the torque request is controlled with a second control strategy after the first control strategy and before the occurrence of the backlash such that a torque request level is below a highest torque request level obtained during the first control-strategy.

Excess fuel consumption monitor and feedback systems for vehicles include sensor arrays of two primary types including those sensors deployed as part of a vehicle manufacturer established sensor suite and sensors deployed as after-market sensors. Together, these sensor suites include sensors coupled to vehicle subsystems and operating environments associated with the vehicle. Data from these sensors may be used as parametric inputs to drive algorithmic calculations which have outputs that express excess fuel consumption. Expressions of excess fuel consumption may be made instantaneously as real-time feedback to a vehicle operator/driver and/or a fleet manager as part of a summary report.

A transmission assembly for a work vehicle having an engine includes a variator operably connected to the engine, a gear arrangement configured to provide a selective gear reduction for transmission of output power from the variator to an output shaft, and an electrical machine unit. The electrical machine unit further includes a main shaft operably connected to the variator, a first rotor configured to rotatably drive a first shaft, a second rotor configured to rotatably drive a second shaft, and a clutch configured to selectively couple the first shaft or the second shaft, or both the first shaft and the second shaft, to the main shaft. The clutch, the first rotor, and the second rotor are operable to control a speed and rotational direction of the main shaft in providing rotational power to the variator.

Systems and methods are provided for controlling a transmission. An engine stop-start event may be allowed or denied based on one or more characteristics of the vehicle including the transmission.

The present disclosure provides a hybrid electric vehicle, a drive control method and a drive control device of a hybrid electric vehicle. The drive control method includes: obtaining a current gear position and a current operating mode of the hybrid electric vehicle, a current electric charge level of a power battery and a slope of a road where the hybrid electric vehicle is; determining whether the hybrid electric vehicle is within a taxiing start-stop interval according to the current gear position of the hybrid electric vehicle, the current electric charge level of the power battery, and the slope of the road; if the hybrid electric vehicle is within the taxiing start-stop interval, further obtaining a current speed of the hybrid electric vehicle; and causing the hybrid electric vehicle to enter a small load stop mode or a small load stall mode according to the current speed.