The present disclosure provides systems and methods for determining or providing fuel information of a vehicle, such as predicting fuel intake and usage for the vehicle. A method for predicting a fueling event of a vehicle comprises using a mobile computing device carried in the vehicle to track the vehicle along a route. Multiple stop events may be detected when tracking the vehicle, and for each of the multiple stop events, each of duration and a geographic location may be determined. Next, a given stop event of the multiple stop events may be determined to be a fueling event based at least in part on a duration and geographic location of the given stop event.

The present disclosure provides systems and methods for determining or providing fuel information of a vehicle, such as predicting fuel intake and usage for the vehicle. A method for predicting a fueling event of a vehicle comprises using a mobile computing device carried in the vehicle to track the vehicle along a route. Multiple stop events may be detected when tracking the vehicle, and for each of the multiple stop events, each of duration and a geographic location may be determined. Next, a given stop event of the multiple stop events may be determined to be a fueling event based at least in part on a duration and geographic location of the given stop event.

A method to predict time and/or distance remaining before a fluid system reaches a low fluid level includes determining a fluid level of the fluid system before execution of a fluid request command; determining an amount of time that fluid from the fluid system was spent in response to execution of the fluid request command; and determining external inputs that may affect a frequency of the fluid request command. A calculation of the risk of a low fluid level event occurring is made by inputting the current fluid level of the fluid system, the amount of time that fluid from the fluid system was being spent, and the external inputs that may affect the frequency of the fluid request command into a remaining useful fluid prediction model. A low fluid level alert is provided when the remaining useful fluid prediction model determines a low fluid event may occur.

Disclosed is a device and method for measuring the magnitude of a seepage force and its influence on effective stress of a formation. The measuring device includes a lower bearing platform having a pressure testing device fixed on an upper part thereof, and a water storage chamber mounted with a seepage water discharge pipe. A confining pressure loading chamber is mounted on the upper part of the lower bearing platform, and the lower bearing platform is used for placing a sample which has 11 measuring points distributed at equal intervals on an outer wall thereof. An upper and a lower permeable pressure-bearing steel sheet are placed on an upper and a lower end surface of the sample, respectively. The invention can improve the validity and accuracy of measurement and make the calculation result of the test more accurate.

A material calculator for a truck to deliver a predetermined quantity of brine per mile driven by the truck for a known route of miles independent of and proportional to truck speed, wherein the truck carries a known number of gallons of brine and a known number of pounds of salt. The material calculator has a processor accepting entry values of route miles to be driven, number of times the route of miles is to be driven, number of gallons of brine carried by the truck, and the number of pounds of salt carried by the truck. The processor has software for calculating dispensing of the brine and salt so that each is exhausted when the route is completed. A hydraulic pump pumps hydraulic fluid to a variable flow positive displacement pump to implement the calculated number of gallons of brine per mile to be dispensed for the known route.

A method for improving fuel efficiency testing precision in on-road vehicles. The method comprises: installing one or more dataloggers in one or more vehicles, each datalogger configured to receive fuel consumption data broadcast by an on-road vehicle's engine control unit (ECU); transmitting the fuel consumption data from the one or more dataloggers in the one or more on-road vehicles to a processor; and analyzing, using the processor, the fuel consumption data from the one or more dataloggers in the one or more on-road vehicles to determine fuel efficiency of the one or more on-road vehicles. The fuel consumption data comprises fuel rate data from the ECU which is transmitted through the one or more dataloggers, engine speed and other operating parameters from the ECU that are transmitted through the one or more dataloggers, torque sensor data which is transmitted through the one or more dataloggers, and traditional fuel log data.

A method for improving fuel efficiency testing precision in on-road vehicles. The method comprises: installing one or more dataloggers in one or more vehicles, each datalogger configured to receive fuel consumption data broadcast by an on-road vehicle's engine control unit (ECU); transmitting the fuel consumption data from the one or more dataloggers in the one or more on-road vehicles to a processor; and analyzing, using the processor, the fuel consumption data from the one or more dataloggers in the one or more on-road vehicles to determine fuel efficiency of the one or more on-road vehicles. The fuel consumption data comprises fuel rate data from the ECU which is transmitted through the one or more dataloggers, engine speed and other operating parameters from the ECU that are transmitted through the one or more dataloggers, torque sensor data which is transmitted through the one or more dataloggers, and traditional fuel log data.

One way to improve fuel efficiency of a vehicle is to detect the vehicle operational shortcomings related to fuel consumption by determining whether fuel used during operation of the vehicle is normal fuel use or wasted fuel use. Considerations of idling, speeding and inappropriate gear shifts are some ways to measure the amount of fuel wasted due to operator shortcomings. Communicating this information to the operator in real-time so adjustments can be made will improve vehicle fuel efficiency. These techniques are applicable to tracking employment of other driving best practices as well.

One way to improve fuel efficiency of a vehicle is to detect the vehicle operational shortcomings related to fuel consumption by determining whether fuel used during operation of the vehicle is normal fuel use or wasted fuel use. Considerations of idling, speeding and inappropriate gear shifts are some ways to measure the amount of fuel wasted due to operator shortcomings. Communicating this information to the operator in real-time so adjustments can be made will improve vehicle fuel efficiency. These techniques are applicable to tracking employment of other driving best practices as well.

A vehicle control device for a vehicle includes a communication unit configured to communicate with a communication device located at a gas station, and a processor configured to control the vehicle to perform at least one of autonomous driving or autonomous fueling based on information received from the communication device. In addition, a control method for controlling a vehicle includes communicating with a communication device located at a gas station, and controlling a vehicle to perform an operation based on information received from the communication device.