A power-source monitoring apparatus according to an embodiment includes an abnormality detecting unit, a measurement unit, and a recording unit. The abnormality detecting unit detects an abnormality in a power source. The power source supplies electric power to an autonomous driving apparatus of a vehicle. The measurement unit measures an elapsed time interval from a time point at which the abnormality detecting unit detects an abnormality in the power source. The recording unit records therein the elapsed time interval measured by the measurement unit.

According to various embodiments, a method for monitoring and troubleshooting a vehicle using a communications server is presented. The communications server includes a plurality of request handlers, including a dynamic monitor request handler, each coupled to a message handler and to a client request dispatcher, a vehicle communications interface coupled to a message handler, which is coupled to at least one vehicle communications interface and to the plurality of request handlers, and a client interface coupled to the client request dispatcher and to the vehicle. The method includes coupling the vehicle communications interface to the vehicle, coupling the client interface to a client computer, storing in RAM formatting information for each of the vehicle parameters, receiving a request, sending a message representing the request to an appropriate request handler, communicating with the vehicle, receiving a response, and providing the response to the at least one client computer.

A method for identifying potential component manufacturing issues identifying a first set of calibration values corresponding to a first component and flashing a controller associated with the first component with the first set of calibration values. The method also includes performing at least one diagnostic test on the first component and, in response to receiving at least one diagnostic flag resulting from the at least one diagnostic test, determining whether the at least one diagnostic flag includes a false positive response. The method also includes, in response to a determination that the at least one diagnostic flag includes a false positive response, selectively adjusting at least one calibration value of the first set of calibration values and, in response to a determination that the at least one diagnostic flag does not include a false positive response, flashing the controller associated with the first component with a first set of production calibration values.

An embodiment metal panel crack detection sensor includes a cover filled with a conductive material, a measurement line configured to measure a voltage generated in the conductive material, a power line configured to supply power to the conductive material, a metal member, and a metal panel comprising an insulating coating layer formed on the metal member, wherein the cover is attached to the metal panel, and wherein when the metal panel has a crack, the conductive material is configured to move into the crack.

Various embodiments of the present disclosure are directed to a method for carrying out a test run on a test stand. The method in some embodiments reduces a deviation between a comparison simulation value and a comparison reference value when carrying out a test run on a test stand with a test object by simulating via a simulation unit a number of simulation values using a number of specified reference values starting from a selected reference value, determining a corrected reference value which is specified to the simulation unit for simulating a corrected simulation value and determining at least one setpoint variable using the corrected simulation value.

In an approach to predicting physiological and behavioral states utilizing models representing relationships between driver health states and vehicle dynamics data, one or more computer processors capture one or more vehicle motion parameters. The one or more computer processors to capture one or more physiological parameters; identify contextual data associated with the one or more captured vehicle motion parameters and the one or more captured physiological parameters; predict one or more driving behavior parameters by utilizing one or more physical models fed with the one or more vehicle motion parameters and the identified contextual data; predict one or more driver health parameters by utilizing a model trained with the one or more captured physiological parameters and the identified contextual data; generate a risk assessment based on the one or more predicted driving behavior parameters and the one or more predicted driver health parameters.

A transmission testing device that can highly accurately reproduce behavior of an actual engine includes a drive dynamometer DM1 connected to an input shaft of a transmission, absorption dynamometers DM2 and DM3 that are connected to output shafts of the transmission, a shaft torque detection unit that detects a shaft torque value generated at the input shaft of the transmission, and a control unit that controls the drive dynamometer DM1. The control unit uses the shaft torque value detected by the shaft torque detection unit to generate a shaft torque correction value for the drive dynamometer DM1, receives an engine torque input value and uses the received engine torque input value to generate an engine torque correction value for the drive dynamometer DM1, and controls the drive dynamometer DM1 on the basis of a torque command value generated from the shaft torque correction value and the engine torque correction value.

A transmission testing device that can highly accurately reproduce behavior of an actual engine includes a drive dynamometer DM1 connected to an input shaft of a transmission, absorption dynamometers DM2 and DM3 that are connected to output shafts of the transmission, a shaft torque detection unit that detects a shaft torque value generated at the input shaft of the transmission, and a control unit that controls the drive dynamometer DM1. The control unit uses the shaft torque value detected by the shaft torque detection unit to generate a shaft torque correction value for the drive dynamometer DM1, receives an engine torque input value and uses the received engine torque input value to generate an engine torque correction value for the drive dynamometer DM1, and controls the drive dynamometer DM1 on the basis of a torque command value generated from the shaft torque correction value and the engine torque correction value.

The invention relates to a device for attaching a balancing weight (2) to a mounting surface (17) on an inner side (3) of a rim dish of a wheel rim (4) and provides for a mounting head (1) to be dimensioned in such a way that it fits into the rim dish. The mounting head (1) includes a support element (5), which is radially displaceable relative to the wheel rim (4) and on which a feeler element (6) is axially movably arranged, the feeler element (6) having a convex contact surface (14) and a receptacle (12) for at least one balancing weight (2), said receptacle being oriented towards the inner side (3). The mounting head (1) is configured in such a way that the contact surface (14) may be brought into contact with a boundary surface (18) of the inner side (3), and may be displaced along said boundary surface until the balancing weight (2) comes radially into contact with the mounting surface (17).

A system, method, and computer-readable medium for facilitating treatment of a vehicle damaged in a crash utilizes near real-time monitoring of the market value of a vehicle type that includes the damaged vehicle, its vehicle parts, and/or one or more arranged vehicle treatments to approximate an extent of damage to the damaged vehicle and determine a prospective vehicle treatment facility for treating the damaged vehicle. In particular, the system continually monitors the market value of a vehicle, its vehicle parts, and/or a prescribed vehicle treatment to calculate a treatment complexity level, e.g., vehicle repair, total loss; for treating the damaged vehicle.