Abstract: The present disclosure relates to a battery management system for an electric air vehicle such as an eVTOL aircraft for observing a battery system state and a battery health state of an energy storage system of the air vehicle. Based on an observation result, a state prediction, in particular, a prediction of the remaining accessible energy, is carried out during a flight. In particular, the observation and prediction is performed by two independent and dissimilar lanes of the battery management system. A first lane predicts the battery state according to a pre-defined flight profile representing a worst-case scenario. A second lane predicts the battery state according to a planned flight profile so as to determine a range of the flight. Hence, it can be confirmed during the flight that the intended destination can be safely reached with the remaining accessible energy.

Abstract: In case a vehicle speed control is performed in response to a failure in a steer-by-wire steering system, the vehicle is prevented from accelerating following a speed reduction caused by a braking operation of the vehicle operator. The speed limit control limits a traveling speed of the vehicle below an upper limit speed upon detecting a fault in the steering system, and is configured to set a target deceleration of the vehicle according to the limited traveling speed, perform a deceleration control to bring an actual deceleration of the vehicle to become near the target deceleration, and restrict the actual deceleration from changing to an acceleration side in the deceleration control.

Abstract: A system for predicting degradation of a battery for use in an electric vehicle is presented. The system includes a computing device communicatively connected to at least a pack monitor unit, wherein the at least a pack monitor unit is configured to detect a battery pack datum of a plurality of battery modules incorporated in a battery pack. The computing device is further configured to receive the battery pack datum as a function of the at least a pack monitor unit, generate, as a function of the battery pack datum, a battery pack model associated with the battery pack of the electric vehicle, and determine a battery degradation prediction as a function of the battery pack datum and the battery pack model.

Abstract: An abnormality diagnosis device includes: an acquisition unit that acquires a DTC and FFD stored in a vehicle storage unit of a vehicle; a diagnosis engine having a CPU and a storage device; and a database that stores a plurality of discriminant sets corresponding to the respective DTCs. A discriminant item relating to a vehicle part that is a possible cause of an abnormality represented by a corresponding DTC is associated with each of the discriminant sets. Each of the discriminant items has part information showing a vehicle part and a discriminant table including a rule for analyzing the FFD relating to the vehicle part. The diagnosis engine diagnoses whether the vehicle part has an abnormality by retrieving the discriminant set corresponding to the DTC and analyzing the FFD in accordance with the discriminant table of the discriminant item associated with that discriminant set.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for monitoring vehicle components and providing indications towards the condition of the vehicle components and providing optimal indications towards replacement or maintenance of vehicle components before vehicle component failure.

Abstract: A device for a serial bus system. The device includes a reception block for receiving a signal from a bus of the bus system. The signal is based on a transmission signal via which a message is exchanged between user stations. The reception block receives, in a first communication phase, the signal using a first reception threshold, and in a second communication phase, receives the signal using a second reception threshold. The device includes an evaluation block for evaluating the signal from the bus using a switchover reception threshold that differs from the first and second reception thresholds, and a reception threshold switching block for the time-limited switchover of the reception threshold of the reception block from the first reception threshold to the second reception threshold when the evaluation block detects the bus level for data of the transmission signal, using the switchover reception threshold in the signal.

Abstract: Systems, methods and apparatus of predictive maintenance of automotive tires. For example, a vehicle has: a tire and wheel assembly; one or more sensors configured on the tire and wheel assembly to measure operating parameters of the tire and wheel assembly; an artificial neural network configured to analyze the operating parameters of the tire and wheel assembly as a function of time to generate a result; and at least one processor configured to generate a suggestion for a maintenance service of the tire and wheel assembly based on the result from the artificial neural network analyzing the operating parameters of the tire and wheel assembly. For example, the sensors can be configured to measure a pressure of air in the tire, a temperature of the air in the tire, a speed of spinning of the wheel, a traction force or torque applied by the wheel on an axle of the vehicle, and/or vibration of the wheel.

Abstract: A first network device includes a transceiver, a memory and a control module. The transceiver receives an integrated model from a second network device that is separate from the first network device. The memory stores the integrated model and diagnostic trouble code data, most probable cause data, and least probable cause data, which have corresponding cause of issue indications for an issue of a vehicle. The control module while executing the integrated model: compares the cause of issue indications to determine whether the cause of issue indications are consistent such that a same cause of issue is indicated; in response to the cause of issue indications being consistent, displays the same cause of issue, and in response to the cause of issue indications being inconsistent and based on a set of conditions, displays a portion of health related information while refraining from displaying another portion of the health related information.

Abstract: A system for predicting degradation of a battery for use in an electric vehicle is presented. The system includes a computing device communicatively connected to at least a pack monitor unit, wherein the at least a pack monitor unit is configured to detect a battery pack datum of a plurality of battery modules incorporated in a battery pack. The computing device is further configured to receive the battery pack datum as a function of the at least a pack monitor unit, generate, as a function of the battery pack datum, a battery pack model associated with the battery pack of the electric vehicle, and determine a battery degradation prediction as a function of the battery pack datum and the battery pack model.

Abstract: Systems, methods and apparatus of optimizing neural network computations of predictive maintenance of vehicles. For example, a data storage device of a vehicle includes: a host interface configured to receive a sensor data stream from at least one sensor configured on the vehicle; at least one storage media component having a non-volatile memory; and a controller. The non-volatile memory is configured into multiple partitions (e.g., namespaces) having different sets of memory operation settings configured for different types of data related to an artificial neural network (ANN). The partitions include an output partition configured to store output data from the ANN. The sensor data stream is applied in the ANN to predict a maintenance service of the vehicle. The memory units of the input partition can be configured for cyclic sequential overwrite of selected outputs that are updated less frequently than inputs to the ANN.

Abstract: The disclosure includes embodiments for proactive vehicle maintenance scheduling based on one or more digital twin simulations. A method includes generating a digital twin of a vehicle. The method includes receiving digital data recorded by a sensor and describing the vehicle as it exists in a real-world and one or more historical journeys of the vehicle in the real-world. The method includes updating the digital twin of the vehicle based on the digital data describing the vehicle so that the digital twin is consistent with a condition of the vehicle as it exists in the real-world. The method includes executing a simulation based on the digital twin and the one or more historical journeys. The method includes estimating a component of the vehicle that fails at a future time based on the simulation. The method includes scheduling a reservation to repair the component before the future time.

Abstract: A system for swarm communication for an electric aircraft fleet, wherein the system includes a plurality of electric aircrafts connected by a mesh network. The system further includes a computing device communicatively connected to the mesh network, wherein the computing device includes an authentication module configured to authenticate each electric aircraft and facilitate communication of a plurality of aircraft data between the plurality of electric aircrafts. The computing device includes a plurality of communication components, each assigned to an electric aircraft of the electric aircraft fleet, wherein each communication component is configured to transmit the aircraft data to the communication component of its assigned electric aircraft. The system further includes a cloud database configured to record the plurality of aircraft data.

Abstract: Systems, methods and apparatus of optimizing neural network computations of predictive maintenance of vehicles. For example, a data storage device of a vehicle includes: a host interface configured to receive a sensor data stream from at least one sensor configured on the vehicle; at least one storage media component having a non-volatile memory; and a controller. The non-volatile memory is configured into multiple partitions (e.g., namespaces) having different sets of memory operation settings configured for different types of data related to an artificial neural network (ANN). The partitions include an input partition configured to store input data to the ANN. The sensor data stream is applied in the ANN to predict a maintenance service of the vehicle. The memory units of the input partition can be configured for enhanced endurance, cyclic sequential overwrite of a continuous input stream.

Abstract: A system for predicting degradation of a battery for use in an electric vehicle id presented. The system includes a computing device communicatively connected to at least a pack monitor unit, wherein the at least a pack monitor unit is configured to detect a battery pack datum of a plurality of battery modules incorporated in a battery pack. The computing device is further configured to receive the battery pack datum as a function of the at least a pack monitor unit, generate, as a function of the battery pack datum, a battery pack model associated with the battery pack of the electric vehicle, and determine a battery degradation prediction as a function of the battery pack datum and the battery pack model.

Abstract: A computing system can receive and compile power cell data, and in certain examples, the power cell data can be distributed to a distributed ledger. The computing system can further determine approximate battery end of life (ABEL) for each power cell based on a compiled historical record of power cell data. Based on the determined ABEL, the computing system can generate ABEL reports for users, determine optimal settings for a power cell or battery-powered device, and/or transmit notifications to users, to facilitate power cell usage optimization, and/or optimal repurposing or recycling timing.

Abstract: Various embodiments provide prognostic vehicle diagnosis methodologies for monitoring the relative health of various vehicle components over time, to enable replacement of those vehicle components prior to component failure. Sensors monitoring those vehicle components transmit generated telematics data to a computing entity configured to generate a telematics data signature based on the sensor-generated data, and to compare the telematics data signature against a reference data signature to ascertain the relative health of the vehicle component. If the telematics data signature satisfies a failure threshold identified within the reference signature, the computing entity initiates a replacement process at least in part by generating an alert for a maintenance personnel.

Abstract: Examples include a non-transitory machine-readable storage medium having stored thereon machine-readable instructions executable to cause a processing resource to monitor sensory inputs related to a device, monitor a first maintenance intervention related to the device, store data relating to the monitored sensory inputs and the first maintenance intervention in a centralized database, and predict a second maintenance intervention based on the data stored in the centralized database.

Abstract: Methods and systems for repairing a malfunctioning autonomous vehicle (AV) or semi-autonomous vehicle (SAV) are described herein. The AV or SAV may determine that an autonomous feature or sensor is malfunctioning and the extent of the damage to the autonomous feature or sensor. Then the AV or SAV may compare the extent of the damage to a predetermined threshold to determine whether the AV or SAV remains serviceable or otherwise road worthy. If the AV or SAV remains serviceable, the AV or SAV may locate the nearest repair facility having the necessary electronic components in stock and technical expertise for repairing the AV or SAV. Then the AV or SAV may request the nearest repair facility to send an autonomous repair vehicle to the current location of the AV or SAV to facilitate repair.

Abstract: A system includes a processor and a memory. The memory stores instructions executable by the processor to identify a vehicle part to replace based on received vehicle data including a diagnostic status, a location, and a first route. The memory stores instructions executable by the processor to determine a vehicle operating pattern based on the identified vehicle part and to generate a second route including a second destination based on the vehicle part, the vehicle operating pattern, the location, and a first destination and an expected time of arrival of the first route. The memory stores instructions executable by the processor to navigate the vehicle based on the determined second route and the vehicle operating pattern.

Abstract: The present disclosure provides an insulation detection device and method for an energy storage system. The insulation detection device includes a positive switching device, a negative switching device, a sampling unit, a reference voltage terminal and a processor. The sampling unit is configured to collect a positive sampled signal on the energy storage device when the positive switching device and the negative switching device are in a first switching state, and collect a negative sampled signal on the energy storage device when the positive switching device and the negative switching device are in a second switching state; and the processor is configured to determine a positive insulation resistance value and a negative insulation resistance value of the energy storage device according to the positive sampled signal and the negative sampled signal.

Abstract: A method of data collection for a vehicle includes defining a vehicle build configuration based on individual build configurations of one or more vehicle systems, and defining a data acquisition definition file at a data collection and reporting hub based on the vehicle build configuration. The data acquisition definition file includes parameters and measurements to be performed by a data acquisition system located at the vehicle. The data acquisition definition file is requested by the data acquisition system and the data acquisition definition file is communicated to the data acquisition system via a two way electronic communication link between the data collection and reporting hub following the request from the data acquisition system. Vehicle data is collected at the data acquisition system based on the data acquisition definition file.

Abstract: There are provided measures for efficient and dynamic support of mobile low latency services.

Abstract: A bank angle of a vehicle can be accurately calculated using yaw axis data and roll axis data, and based on the calculated bank angle, vehicle illumination optics can be controlled to maintain a pattern of distributed light from the illumination optics to be generally horizontal. The calculated bank angle may be zeroed when the yaw axis data equals zero. The improved pattern of distributed light from the illumination optics illuminates a more natural field of view for the vehicle driver during a bank.

Abstract: System and method for early detection of vehicle parts failure are disclosed. The method includes identifying discriminative rules from unstructured and structured data corresponding to subsystems of a vehicle. Causal parts categories are mapped to the subsystems based on the discriminative rules to obtain a plurality of causal part-subsystem pairs. The causal part categories are representative of vehicle parts responsible for failure of corresponding subsystems. Scores are assigned to the causal part-subsystem pairs based on an occurrence of causal part categories to a corresponding subsystem within a source. An emerging issue score is computed based on the scores, a corresponding weightage associated with the sources of the causal part category, and an extent of coverage of the each causal part in each of the plurality of causal part-subsystem pairs. The emerging issue score is compared with the threshold vehicle part failure score to identify causal part categories associated with vehicle parts failure.

Abstract: Methods and systems for repairing a malfunctioning autonomous vehicle (AV) or semi-autonomous vehicle (SAV) are described herein. The AV or SAV may determine that an autonomous feature or sensor is malfunctioning and the extent of the damage to the autonomous feature or sensor. Then the AV or SAV may compare the extent of the damage to a predetermined threshold to determine whether the AV or SAV remains serviceable or otherwise road worthy. If the AV or SAV remains serviceable, the AV or SAV may locate the nearest repair facility having the necessary electronic components in stock and technical expertise for repairing the AV or SAV. Then the AV or SAV may request the nearest repair facility to send an autonomous repair vehicle to the current location of the AV or SAV to facilitate repair.

Abstract: Methods and systems for predictive emission maintenance of an engine. In one embodiment, a method for predictive emission maintenance of an engine is provided. The method can include a controller obtaining operational status information of the engine upon startup of a transport refrigeration unit (TRU) or a TRU generator set (GenSet). The method also includes the controller predicting engine emission maintenance based on the operational status information. Also, the method includes the controller providing an advanced notification warning based on whether the controller predicts engine emission maintenance.

Abstract: The present disclosure relates to health monitoring and maintenance of mobile platforms such as aircraft. In particular, onboard apparatus and methods and also ground-based apparatus and methods that cooperate in assisting with the maintenance of mobile platforms by facilitating diagnosis of events detected onboard mobile platforms while such mobile platforms are in operation (e.g., transit, flight) are disclosed. In various aspects, the present disclosure discloses apparatus and methods for handling and reporting the detection of events onboard mobile platforms, reporting predefined additional information associated with the event upon request from a ground facility, identifying one or more potential causes for the detected event and determining the occurrence probability for each potential cause identified.

Abstract: Systems and methods for determining vehicle operational status in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle status determination device includes a processor and a memory connected to the processor and storing a vehicle status determination application, wherein the vehicle status determination application directs the processor to determine ignition state data indicating that the vehicle is in a trip based on engine RPM data, where the engine RPM data describes the speed at which the engine is running, record vehicle status data while the vehicle is in the trip, obtain vehicle trip end data indicating that the vehicle is no longer in a trip based on the engine RPM data and a threshold value, where the trip has ended when the engine RPM data is below the threshold value for a period of time, and generate vehicle trip data based on the vehicle status data.

Abstract: A method for predicting temperatures tolerable by a component, a piece of equipment or a vehicle structure. This method includes the steps of determining, for each piece of equipment, component or structure of the vehicle, such as an airplane, a temperature spectrum depending on a plurality of extrinsic parameters measured during a full operating cycle of the airplane, by taking into account, for each piece of equipment, component or structure, possible combinations of the extrinsic parameters and setting aside unlikely combinations of the extrinsic parameters, determining, for each piece of equipment, component or structure, the probability of occurrence of the spectrum during the full airplane operating cycle, and defining a database including the temperature spectra so as to predict the lifetimes of the piece of equipment, component or structure and redefine weather and operational standards indicating extreme temperatures and their probability of occurrence obtained with the measured extrinsic parameters.

Abstract: A bank angle of a vehicle can be accurately calculated using yaw axis data and roll axis data, and based on the calculated bank angle, vehicle illumination optics can be controlled to maintain a pattern of distributed light from the illumination optics to be generally horizontal. The calculated bank angle may be zeroed when the yaw axis data equals zero. The improved pattern of distributed light from the illumination optics illuminates a more natural field of view for the vehicle driver during a bank. In some embodiments, the vehicle illumination optics can include a primary illumination group and a plurality of side illumination groups.

Abstract: In an aircraft having a central maintenance computer, an ACMS system and a communications unit allowing communications with a ground station, a maintenance aid device comprises a processing unit configured to: store a trigger condition dependent on at least one aircraft maintenance data item and/or at least one aircraft flight data item; acquire first data emanating from the central maintenance computer and/or second data emanating from the ACMS system; verify whether the trigger condition is met, on the basis of the first data and/or of the second data; and if the trigger condition is met, send the communications unit, a dataset comprising maintenance data emanating from the central maintenance computer and aircraft flight data emanating from the ACMS system.

Abstract: Systems, methods, and related computer programs are provided wherein vehicle operation data is extracted from an internal automotive network. In an embodiment, a method comprises: i) obtaining data available on the internal automotive network via iterative interrogation; ii) analyzing the obtained data to identify a set of candidate data values having at least one common feature within a suitable proximity margin; and iii) heuristically selecting a candidate data value best matching one or more selection criteria to identify a true value. These systems and methods allow data to be extracted from proprietary and non-proprietary busses in the internal automotive network.

Abstract: Systems and methods for determining vehicle operational status in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle status determination device includes a processor and a memory connected to the processor and storing a vehicle status determination application, wherein the vehicle status determination device is installed in a vehicle, and wherein the vehicle status determination application directs the processor to determine ignition state data indicating that the vehicle is in a trip, record vehicle status data while the vehicle is in the trip, obtain vehicle trip end data indicating that the vehicle is no longer in a trip, and generate vehicle trip data based on the vehicle status data.

Abstract: A system and method for testing vehicle emissions and engine control components using a standalone self-service kiosk. The self-service kiosk includes a computer capable of gathering Vehicle Information (VIN) and OBD information from a vehicle being tested using a barcode reader and an OBD reader, respectively. The self-service kiosk generates a readable display or printed report to the user indicating any detected diagnostic trouble codes found during the vehicle emissions testing. By networking a plurality of self-service kiosks together in a secure network and accessible through the Internet, the self-service kiosk network maintains a centrally located vehicle information database for storing and retrieving pertinent vehicle-related information during vehicle emissions testing. If the vehicle being tested passes the vehicle emissions testing, then the self-service kiosk prints out a registration renewal sticker, registration renewal document and/or receipt for the user.

Abstract: Disclosed are a computer-implemented method for determining safety factors or a safety factor formula for use in a braking model of at least one train, a computer-implemented method for determining a plurality of safety factors for use in a braking model of at least one train, and braking systems for use on trains.

Abstract: Methods and systems are provided for vehicular communications. The systems include a server and a controller in a vehicle. The controller is configured to receive data from vehicular components and transmit the data to the remote server. In a normal mode, the data is transmitted in accordance with a normal frequency of events, while in an abnormal mode, the data is transmitted in accordance with an abnormal frequency of events. The abnormal frequency is different from the normal frequency. The abnormal mode is set in response to an event trigger denoting a fault of at least one component.

Abstract: Disclosed is a system and method for controlling a speed of a vehicle on a curved road according to the present invention. The system for controlling a speed of a vehicle on a curved road according to the present invention includes: a trace corrector configured to correct a trace of a curved road on which the vehicle is to be driven; a curvature calculator configured to calculate a curvature based on feature points of the corrected driving trace; a proper speed calculator configured to calculate a proper speed for each feature point of the driving trace based on the calculated curvature; and a curved road goal acceleration calculator configured to determine a speed control point for controlling a speed based on the calculated proper speed, and to calculate a curved road goal acceleration of the determined speed control point.

Abstract: An approach is provided to automate predictive vehicle maintenance. In the approach, a vehicle's information handling system receives vehicle data transmissions from a number of other vehicles in geographic proximity to the vehicle. Both the vehicle and the other vehicles correspond to various vehicle types that are used to identify those other vehicles that are similar to the vehicle. The sets of received vehicle data transmissions that are received to similar vehicles are analyzed with respect to a plurality of vehicle maintenance data corresponding to the vehicle. The analysis of the vehicle data transmissions resulting in predictive vehicle maintenance recommendations pertaining to the first vehicle.

Abstract: A vehicle includes a body and at least one propulsion unit operatively coupled to the body. The vehicle also includes an electrical power system at least partially disposed within the body. The electrical power system includes a rechargeable battery and a health management unit operatively coupled to the rechargeable battery. The health management unit includes a state of health module configured to output information corresponding to battery health based on received battery-related data. The battery-related data includes data collected in real time operation of the rechargeable battery and battery relevant fault history of the vehicle.

Abstract: A vehicle battery diagnosis system diagnoses the state of degradation of a battery of a vehicle equipped with the battery as a motive power source. The system includes: an information accumulation portion that accumulates degradation information regarding the battery; an information processing portion that reads information from the information accumulation portion, and that creates a plurality of types of screen information that are different from each other in display format, for a plurality of information recipients; a display portion that displays a screen that corresponds to at least one of the types of screen information created by the information processing portion.

Abstract: A method of predicting a trailing edge flap failure, the method includes receiving a position signal from the position sensor indicative of the position of at least one of the trailing edge flaps, comparing the position signal to a reference position value to define a position comparison, defining a variation comparison and providing an indication of a prediction of a trailing edge flap failure based on the variation comparison.

Abstract: Methods of predicting a speed brake fault in an aircraft having a speed brake system including multiple control surfaces, a handle for setting the position of the multiple control surfaces, and at least one control surface position sensor, the methods include receiving a position signal from the at least one position sensor, determining a variation in the position signal and predicting a fault in the speed brake system.

Abstract: An electrical control unit, or ECU, for a vehicle actuation system is described. The electrical control unit determines a current consumption of a current controlled actuator and comprises an input to receive an input signal from the current controlled actuator, an adder to add a bias signal to the input signal, an amplifier to generate an amplified signal by amplifying the signal output by the adder, a subtractor to subtract a signal representative of the bias signal from the amplified signal, and a determining unit to determine the current consumption from the signal output by the subtractor.

Abstract: In a method and a device for wear diagnosis of a motor vehicle, driving events and driving conditions occurring during driving operation are detected, the detected driving events and driving conditions are assigned in each case a wear index value using a table which is stored in a memory of the motor vehicle and which adds up the wear index values assigned to the detected driving events and driving conditions in order to form a total wear index value, and the determined total wear index value is compared with a reference total wear index value derived from a stored characteristic curve.

Abstract: A method of predicting a horizontal stabilizer system fault in an aircraft, where the method includes receiving data relevant to a characteristic of the pitch of the aircraft during flight, comparing the received data to a reference pitch characteristic, predicting a fault in the horizontal stabilizer system based on the comparison, and providing an indication of the predicted fault.

Abstract: A method for predicting the temperature (Tin,p) of a wheel bearing of a vehicle wheel for a future moment (t+?tp) in relation to a present moment (t) or for a future time interval (t, t+?tp) in relation to a present moment (t), on the basis of a course of the temperature (Tin) of the wheel bearing in a past time interval (t??tb, t) in relation to the present moment (t), the predicted temperature (Tin,p) of the wheel bearing being determined from the sum of the temperature (Tin) of the wheel bearing at the present moment (t) and a corrective value (?TP) which is determined according to a change in at least one driving condition, such as the speed (?vtrain), and a change in the temperature (?Tb) of the wheel bearing within the past time interval (t??tb, t).

Abstract: A system method of estimating health of aircraft brake system friction material includes sensing a temperature of the friction material, and supplying the sensed temperature to a processor-implemented thermal model that is configured to estimate friction material temperatures at one or more locations on the friction material. The estimates of friction material temperatures are supplied to a processor-implemented thermal oxidation model that is configured, based on the estimates of friction material temperatures, to estimate friction material loss due to thermal oxidation. Data representative of runway fluid exposure are supplied to a processor-implemented catalytic oxidation model that is configured, based on the runway fluid exposure, to estimate friction material loss due to catalytic oxidation. The health of the friction material is estimated based on the estimates of friction material loss from the processor-implemented thermal oxidation model and the processor-implemented catalytic oxidation model.

Abstract: System and method for maintaining functionality of software includes initially providing the vehicle with software resident on computer-readable medium to enable it to operate and interact with components thereof and updating the vehicle software by receiving a wireless transmission from one or more remote locations, e.g., a location maintained by a dealer or manufacturer of the vehicle. The software may be diagnostic software for a diagnostic module which diagnoses operability of components of the vehicle. Different remote locations may be responsible for different portions of the vehicle-resident software and may therefore provide different software upgrades, based on need.

Abstract: System and method for maintaining functionality of software includes initially providing the vehicle with software resident on computer-readable medium to enable it to operate and interact with components thereof and updating the vehicle software by receiving a wireless transmission from one or more remote locations, e.g., a location maintained by a dealer or manufacturer of the vehicle. The software may be diagnostic software for a diagnostic module which diagnoses operability of components of the vehicle. Different remote locations may be responsible for different portions of the vehicle-resident software and may therefore provide different software upgrades, based on need.

Abstract: A method of determining a load on at least one member of a power shovel may include the steps of: sensing a strain in a boom of the power shovel; determining a plurality of member joint loads based on strain sensed in the boom; and determining the load on the at least one member of the power shovel from the plurality of member joint loads.