Abstract: Multi-mode personal transportation and delivery devices and methods of use are disclosed herein. A method can include providing a preview of an opening height of a tailgate to a user, where the opening height is defined by a distance of liftgate that is measured relative to a ground plane, receiving feedback to adjust the opening height, creating a customized liftgate opening height from the feedback, and storing the customized liftgate opening height in a user account.

Abstract: Various embodiments of the teachings herein include a method for determining the nitrogen oxide content and/or ammonia content in the exhaust gas of an internal combustion engine with a catalytic converter arranged in an exhaust tract and an exhaust gas sensor downstream of the catalytic converter. In some embodiments, the method comprises: determining an operating state of the internal combustion engine, the operating state indicating either lean operation or rich operation of the internal combustion engine; generating a signal using the exhaust gas sensor; and determining the nitrogen oxide content and/or ammonia content in the exhaust gas at least partially based on the determined operating state of the internal combustion engine and the signal.

Abstract: A system controlling an electronic parking brake of a vehicle includes an input device receiving an input pattern from an operator and a parking brake controller receiving the input pattern from the input device. The parking brake controller determines if the input pattern is a respective predetermined pattern for setting the electronic parking brake to one of a primary mode and a secondary mode. If the parking brake controller determines the input pattern is the predetermined pattern for setting the electronic parking brake to the secondary mode, the parking brake controller transmits an electronic control signal for releasing the electronic parking brake until a subsequent input pattern received by the input device is the predetermined pattern for setting the electronic parking brake to the primary mode.

Abstract: A method controls an opening speed of a purge valve according to the purge gas concentration implemented by an active purge system (APS). A purge controller varies, when a valve opening speed of a purge control solenoid valve (PCSV) is controlled, the valve opening speed of the PCSV using any one among a low concentration rate coefficient, a high concentration rate coefficient, a coolant temperature rate coefficient, and an ambient air temperature rate coefficient, and performs the purge control using a difference between the valve opening speeds, and thus dualizes the valve opening speed of the PCSV according to a hydrocarbon (HC) concentration, thereby stably controlling the air-fuel ratio, and simultaneously, securing the purge rate and relatively stably control an air-fuel ratio in a state of high concentration purge execution.

Abstract: A vehicle anomaly analysis apparatus for analyzing an anomaly having occurred in a shift control operation executed in an automatic transmission of a vehicle, by using a rotational speed changed in process of the shift control operation. The vehicle anomaly analysis apparatus specifies cause of the anomaly in the shift control operation, by applying an anomaly-cause specifying model that indicates a relationship between a manner of chronological change of a racing amount and the cause of the anomaly in the shift control operation, to the manner of the chronological change of the racing amount upon occurrence of the anomaly in the shift control operation. The racing amount is an amount of increase of the rotational speed in the process of the shift control operation, relative to a reference rotational speed that is based on a gear ratio and an output rotational speed of the automatic transmission.

Abstract: A device for AI-based vehicle diagnosis using CAN data may include an engine; a vibration sensor mounted in an engine compartment in which the engine is mounted and configured for detecting a vibration signal; and a controller area network (CAN) communicating with one or more of an environmental condition, a vehicle status, an engine status, and an engine control parameter, wherein data preprocessing from the vibration sensor and the CAN is performed to determine features in which correlation between vibration data (dB) exceeding a threshold value of irregular vibrations being generated by the engine and the CAN data is equal to or greater than 90%.

Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises monitoring observational data based on a plurality of observational angles; dynamically detecting an anomaly within the monitored data based on dynamically filtering the monitored data for a plurality of predicted deteriorations; in response to dynamically detecting the anomaly, generating a plurality of ameliorative actions, wherein each ameliorative action in the plurality of ameliorative actions is based on a generated notification transmitted to a graphic user interface for user input; and dynamically implementing at least one ameliorative action of the plurality of ameliorative actions that corrects the detected anomaly within a computing device.

Abstract: A variety of methods and arrangements are described for determining a pilot injection mass during skip fire operation of an internal combustion engine.

Abstract: The present invention is to provide a system for producing hydrogen gas to supply internal combustion engines, comprising a controller, an internal combustion engine, an electric system of transportation vehicle, a fuel supply unit, an exhaust sensor, a battery management system, and an electrolysis system. The system saves fuel, almost completely reduces the number of harmful emissions released into the environment, cools the internal combustion engine, and clears residue inside the internal combustion engine. In addition, the invention also provides a method for producing hydrogen gas to supply internal combustion engines.

Abstract: In a heat-shielding film formed of addition-curing silicone resin containing organopolysiloxane, organopolysiloxane includes the combination of a plurality of units including at least a R1SiO3/2 unit (a T unit), a R2R3SiO2/2 unit (a D unit), and a R4R5R6SiO1/2 unit (a M unit) (in each unit, R1 to R6 is aliphatic hydrocarbon or hydrogen), and the molar ratio of the T unit, the D unit, and the M unit among all structural units is T:33.3 mol % to 71.4 mol %, D:11.1 mol % to 42.9 mol %, and M:7.0 mol % to 42.9 mol %.

Abstract: Methods and systems are provided for controlling a vehicle engine to reduce engine knock and increase fuel efficiency by reducing hydrocarbon breakthrough. In one example, a method may include adjusting a compression ratio of a variable compression engine in response to hydrocarbon breakthrough above a threshold from a fuel vapor canister of an evaporative emissions system.

Abstract: A CPU stops combustion control of Cylinder #1 in order to perform a regeneration process of a GPF and performs a regeneration process of causing an air-fuel ratio of an air-fuel mixture in Cylinders #2 to #4 to be richer. When it is determined that a misfire has occurred because a misfire rate when the regeneration process is not being performed is equal to or greater than a predetermined value, the CPU determines that an internal combustion engine has returned to a normal state based on the premise that the misfire rate when the regeneration process is not being performed decreases.

Abstract: A control method of an engine system is a method of controlling the engine system including an engine with a combustion chamber; a fuel injection valve configured to supply fuel to the engine; and an air-fuel ratio sensor provided in a flow path of exhaust gas from the engine. In the control method, feedback control is performed so that an air-fuel ratio in the combustion chamber becomes a target value by controlling the fuel injection valve, using an air-fuel ratio measured value obtained by the air-fuel ratio sensor. In the feedback control, a transfer function is used, the transfer function being obtained by system identification of a plant having the air-fuel ratio in the combustion chamber serve as an input and the air-fuel ratio measured value obtained by the air-fuel ratio sensor serve as an output.

Abstract: A system may comprise a device. The device may be configured to receive, from one or more sensor devices of the machine, sensor data associated with wear of one or more components of an undercarriage of the machine; and predict, using a machine learning model and the sensor data, an amount wear of the one or more components based on a wear rate of the one or more components. The machine learning model is trained, using training data, to predict the wear rate of the one or more components. The training data includes two or more of: historical sensor data, historical inspection data, or simulation data, of a simulation model, from one or more third devices. The device may perform an action based on the amount of wear.

Abstract: A control device for a vehicle includes a semiconductor switch, and opens and closes a connection between a capacitor connected to one end of the semiconductor switch and an on-board battery connected to another end of the semiconductor switch by turning ON/OFF the semiconductor switch. The control device includes: a wiring for applying a drive voltage for turning ON the semiconductor switch; a drive switch for short-circuiting the wiring to turn OFF the semiconductor switch; a Zener diode having an anode connected to the one end of the switching circuit, and a cathode connected to the wiring; a voltage detection unit detects a voltage at the one end of the switching circuit; and a control unit that controls the drive switch from OFF to ON, and determines whether or not the semiconductor switch is defective by comparing the voltage detected by the voltage detection unit with a threshold value.

Abstract: Provided is a control device of a vehicle including an alternator that generates power using a driving force of an internal combustion engine, wherein when the alternator is cold and a request power of an accessory is equal to or greater than a predetermined value, the control device increases the number of revolutions of the internal combustion engine compared with the number of revolutions when the alternator is not cold.

Abstract: A machine learning model is manufactured by a process including retrieving training data, minimizing a loss function, wherein the training data may include labeled or unlabeled data, the machine learning model generating a prediction. A machine learning training/operation server includes a processor and a memory storing instructions that, when executed by the processor, cause the server to retrieve training data, input a training input, analyze the training input to generate a prediction, generate a loss score, and store the trained machine learning model. A method for training a machine learning model includes receiving training data, inputting a training input, analyzing the training input, generating a loss score, and storing the trained machine learning model.

Abstract: A cause for a malfunction in a vehicle is identified using a preset malfunction cause identifying model indicating a relation between the cause for the malfunction identified based on a detection value of an experimental vehicle sensor such as an oil pressure sensor, which is a detection value allowing the cause for the malfunction to be identified more easily than a detection value of an in-vehicle sensor group that is the same as an in-vehicle sensor group equipped in the vehicle, and the detection value of the in-vehicle sensor group, and the detection value of the in-vehicle sensor group when the malfunction has occurred in the vehicle. Therefore, in the case where the vehicle is not equipped with the experimental vehicle sensor, it is possible to improve the accuracy of the identification of the cause for the malfunction in the vehicle.

Abstract: A cutting fluid amount adjusting device acquires at least data indicating a machining state of a machine tool and data relating to cutting fluid supplied from a cutting fluid supplying device, creates data used in machine learning based on the acquired data, and executes, based on the created data, processing of the machine learning relating to the discharge amount of the cutting fluid from a cutting fluid nozzle in an environment in which machining of a workpiece by the machine tool is performed.

Abstract: Described a system for anomaly detection using anomaly cueing. In operation, an input image having two-dimensional (2D) image mixtures of primary components is reformatted into one-dimensional (1D) input signals. Blind source signal separation is used to separate the 1D input signals into separate output primary components, which are 1D output signals. The 1D output signals are reformatted into 2D spatially independent component output images. The system then calculates all possible pair product images of the 2D spatially independent component output images and corresponding signal-to-noise ratios. A pair product image is selected based on the peak signal-to-noise ratio and thresholded to identify anomalies in the pair product image. Several types of devices can then be controlled based on the identified anomalies in the pair product image.