A dynamic calculation method and device of electric vehicle mass includes acquiring status data of a vehicle to be measured during an accelerating driving period, the status data including time, speed, height, gravitational acceleration, effective driving power and resistance power; according to the status data information, calculating the total output work, the total resistance work, the total potential energy change amount and the kinetic energy change amount of the vehicle to be measured during the accelerating driving period. Calculating, on the basis of the total output work of a vehicle drive motor being equal to the sum of the total resistance work, a total potential energy change amount of the vehicle in height and the kinetic energy change amount of the vehicle, the mass of the vehicle to be measured.

Methods, computer-readable media, software, and apparatuses include collecting, via one or more sensors and during a first window of time, sensor data associated with an acceleration of the vehicle, processing the sensor data to obtain frequency domain sensor data, analyzing the frequency domain sensor data to identify one or more occurrences of a vehicle mass change event, classifying a use of the vehicle for a shared mobility service during one or more time periods of the first window of time based on the one or more occurrences of a vehicle mass change, and transmitting, to a remote computing device, a notification relating to use of the vehicle for the shared mobility service.

Systems and methods for determining an estimated weight of a vehicle are provided. The system includes at least one data storage and at least one processor. The at least one data storage is configured to store vehicle data associated with the vehicle. The at least one processor is configured to: identify a plurality of vehicle maneuvers based on the vehicle data, each vehicle maneuver being associated with a portion of the vehicle data, each portion of the vehicle data comprising a measured torque profile; generate a plurality of simulated torque profiles for each vehicle maneuver; generate a plurality of error profiles, an error profile being generated for each vehicle maneuver based on differences between the plurality of simulated torque profiles and the measured torque profile corresponding to that vehicle maneuver; and determine the estimated weight of the vehicle based on the plurality of error profiles.

A system of improved weighing utilizes accelerometers to compensate for measurement dynamics and non-level sensor orientation. Fill level of remote combines can be estimated by utilizing their historical harvesting performance and elapsed time or area harvested. Failure and degradation of weight sensors is detected by testing sensor half bridges. Loading and unloading weights can be tied to specific vehicles by utilizing RF beacons. Display location diversity is enhanced utilizing a mirror located as necessary while reversing the displayed image.

A system for detecting distribution of a weight of a payload in a dump body of a vehicle includes first sensors, second sensors, and a controller. The dump body is pivotable about pins to be selectively seated and titled to a frame of the vehicle. The first sensors are arranged between the dump body and the frame, and detect components of the weight of the payload exerted through the dump body when the dump body is seated relative to the frame. The second sensors are arranged correspondingly within the pins, and detect components of the weight of the payload exerted through the dump body. The controller determines a status of payload distribution in the dump body based on the component of the weight of the payload detected by the first sensors and second sensors, and generate a notification to indicate the status of payload distribution.

Techniques are described for determining weight distribution of a vehicle. A method of performing autonomous driving operation includes determining a vehicle weight distribution that values for each axle of the vehicle that describe weight or pressure applied on a respective axle. The values of the vehicle weight distribution are determined by removing at least one value that is outside a range of pre-determined values from a set of sensor values. The method further includes determining a driving-related operation of the vehicle weight distribution. For example, the driving-related operation may include determining a braking amount for each axle and/or determining a maximum steering angle to operate the vehicle. The method further includes controlling one or more subsystems in the vehicle via an instruction related to the driving-related operation. For example, transmitting the instruction to the one or more subsystems causes the vehicle to perform the driving-related operation.

The present invention discloses a method and system for data measurement and calculation, monitoring, surveillance and processing of integrated vehicles. In the method, a measurement and calculation object is one of vehicle operation parameters; data at least including a joint operation value of the measurement and calculation object is acquired for identifying the power transmission conditions of a vehicle; the joint operation value of the measurement and calculation object is a result obtained by calculation based on the acquired value of input parameters; the calculation is calculation based on a longitudinal dynamic model of the vehicle; and the input parameters are all parameters in the model except the measurement and calculation object.

A predetermined relationship among various loading states, stability factor (Kh) of a vehicle and lateral acceleration (Gy) of the vehicle is stored in a storage device (30A) as a reference relationship (i.e. a map). Information regarding a lateral acceleration (Gy) of the vehicle is acquired using a lateral acceleration sensor (40). An estimated value of the stability factor (Kh) of the vehicle is calculated on the basis of vehicle travelling data when turning. A loading state of the vehicle is estimated on the basis of the area in which the estimated value of the stability factor and the lateral acceleration of the vehicle which is at the same point in time as the vehicle travelling data which were provided for the calculation of the estimated value belong in the reference relationship.

A method for determining a range of a vehicle, the vehicle having an electric motor to supply driving power and/or to recuperate braking energy, and a weight of the vehicle is determined on the basis of an acceleration and/or recuperation behavior as a function of a torque and/or a rotational speed of the electric motor, the range of the vehicle being determined on the basis of the ascertained vehicle weight.

Methods, apparatuses and computer program products for estimating absolute wheel roll radii and/or a vertical compression value of wheels of a vehicle are disclosed, wherein yaw rates of the vehicle, wheel speeds of first and second wheels, and optionally lateral acceleration of the vehicle are measured and used as a basis for the estimation.