A mileage prediction and optimization system (FIG. 1) is disclosed for optimizing the mileage of a vehicle. The mileage prediction and optimization system comprises a prediction and optimization module (300) adapted to determine variation in mileage of the vehicle at least based on the current fuel volume, current speed, current fuel density, the current tire air pressure, the current tire air temperature, current fetched values from an ECU module (700) and the pre-defined mileage data of the vehicle. Further, the prediction and optimization module (300) is adapted to optimize the mileage of the vehicle by reducing variation of fuel density, reducing variation of tire air pressure and informing optimal gear-speed combinations to a user regardless of whether the vehicle is stationary or in motion.

Embodiments of methods and systems related to operating a mobile asset are provided. In one example, a method for operating a mobile asset includes supplying an engine with a fuel controller a first amount of a first fuel and a second amount of a second fuel and combusting the first fuel and the second fuel at a fuel combustion ratio in at least one cylinder of the engine, the first amount and the second amount being selected based on route information for a route along which the mobile asset is operable to travel and a projected exhaustion of the first fuel that does not precede a projected exhaustion of the second fuel, wherein the mobile asset is unable to operate with the second fuel alone.

A system and method that detects, using processing circuitry, a predetermined energy condition. The processing circuitry determines a geographic location of a vehicle, identifies at least one energy station as a function of a plurality of factors, determines a vehicle range based on an energy level of the vehicle and a first mode of vehicle operation, determines whether an energy saving condition is satisfied based on the vehicle range, a location of the at least one energy station, and the geographical location of the vehicle, and enters an economy mode when the energy saving condition is satisfied.

A method and apparatus for evaluating the driving of a vehicle performing a journey on a road network is disclosed. The method comprises determining a fuel usage rate and an engine speed of a vehicle, and determining when the vehicle is coasting based upon at least one of the fuel usage rate and the engine speed of the vehicle. An acceleration of the vehicle, when the vehicle is determined to be coasting, is compared with a predetermined reference acceleration, and an application of braking during the coasting is determined based on the result of the comparison. A method and apparatus is also disclosed for determining a score indicative of the relative amount of time for which the vehicle is coasting without braking during a journey.

Systems and methods are provided for presenting in a hybrid electric vehicle display, proximate to or in some relation to each other, engine power usage, motor-generator power usage, and battery state of charge information. By combining the display of engine power usage, motor-generator power, and battery state of charge information, power distribution and related information may be presented to the operator of a vehicle to explain the vehicle's performance from a power split output and usage perspective. This can provide reassurance or confirmation that the vehicle is operating as it should, identify a problematic condition, etc.

Methods and systems are provided for integrating a bi-fuel engine with a CVT transmission. Responsive to a driver demand, a controller may determine whether to maintain usage of a current fuel or transition to an alternate fuel based on the cost efficiency of the transition and further based on any engine limitations that may be incurred at the engine speed-load following the transition. To improve the net fuel economy benefit while addressing the engine limitation, a fuel transition may be combined with a CVT adjusted engine speed-load regime, while maintaining engine power output.

Methods and systems are provided for synergizing the benefits of a multi-fuel engine in a hybrid vehicle system. During engine operation, in response to a change in driver demand, the controller may opt to switch fuels or maintain a current fuel while using stored power assist. The selection may be based on the combination of fuel and stored power offset that provides the highest engine efficiency at the lowest fuel cost.

An autonomous driving control system of a vehicle includes a processor, a navigation, and a driving controller communicatively connected to one another. The processor is configured to estimate a charging amount of a power source that drives a driving device of a vehicle. The navigation is configured to set a driving route based on a destination and to search for a charging station for the power source based on the set driving route. The processor is further configured to determine a charging strategy of the power source based on the estimated charging amount of the power source, the driving route set by the navigation, and the searched charging station. The driving controller is configured to control driving of the vehicle based on the driving route set by the navigation and the determined charging strategy.

Embodiments of methods and systems related to operating a mobile asset are provided. In one example, a method for operating a mobile asset includes adjusting a fuel combustion ratio of a plurality of mobile assets based on an emission type exceeding a corresponding threshold, wherein the fuel combustion ratio includes a plurality of fuel types.

A fueling information provision system includes a storage device, a CPU serving as an execution device, and a location information obtaining device that obtains a location of a vehicle. The storage device stores fuel nozzle data about a fuel nozzle color assigned to a fuel type used by the vehicle in each of predetermined regions. The CPU transmits a notification signal indicating that the fuel nozzle color has changed when the location of the vehicle obtained by the location information obtaining device has shifted from the first region to the second region.