Patent classifications
G07C5/004
Systems and methods for providing predictive distance-to-empty for vehicles
Systems and methods are disclosed for providing predictive distance-to-empty (DTE) assessments for vehicles that can include electric, gas, or hybrid vehicles. An example method includes determining a plurality of learned parameters of vehicle operation of a vehicle based on a plurality of energy consumption parameters of the vehicle; determining a plurality of predictive parameters of vehicle operation of the vehicle selected from any combination of weather data or navigation data, the navigation data being determined relative to a planned route and applying a DTE function for the energy source, the DTE function utilizing the plurality of learned parameters of vehicle operation, and the plurality of predictive parameters of vehicle operation of the vehicle, based on a current capacity of the energy source to determine a DTE for the vehicle.
Apparatus and method for indicating residual driving range
Embodiments of the present invention provide a controller for indicating a residual driving range available in a battery of an electric vehicle. The controller is operable in a first mode wherein it instructs the output means to display an output indicative of the total amount of energy remaining in the battery and a second mode wherein it instructs the output means to display an output indicative of an amount of energy that may be used without causing the total amount of energy stored in the battery to reduce below an amount required to undertake a predetermined journey. The controller is operable to switch from the first mode to the second mode upon receipt of a user input via said second input means. Advantageously, the second mode may display an amount of energy that can be used in a leisure driving session.
Engine emission prediction system
Approaches for predicting parameters contributing to engine emissions are described. In an example, the values of control parameters may be obtained from the vehicle sensors. Based on the obtained values of the control parameters, estimated emission value may be determined pertaining to a correlation criterion reflecting a predetermined relationship between the obtained control parameter and engine emission. Further, the contribution index of each of the individual control parameters may be identified. Further, based on the estimated emission value and the contribution index, aggregated emission value corresponding to the exhausted emission from the engine for particular trip may be calculated.
METHOD AND DEVICE FOR CREATING AN EMISSIONS MODEL OF AN INTERNAL COMBUSTION ENGINE
A method for creating an emissions model of an internal combustion engine. The method begins with a provision of a plurality of measurement series at an internal combustion engine. There then follows a filtering of the measurement series using various low-pass filters, and ascertaining, from the filtered measurement series, those measurement series, when provided as an input variable for the emissions model during optimization of the emissions model, the smallest deviation from predicted emissions of the emissions model for measured emissions is achieved.
Method and system of calculating distance to empty of each vehicle drive mode
A system and method of calculating a vehicle DTE are provided to calculate a fuel efficiency of each vehicle drive mode, and display a more accurate DTE of each drive mode. The method includes when a driver selects a drive mode and a drive distance of the selected drive mode is accumulated while a vehicle is being driven in the selected mode, collecting drive data including an accumulated drive distance of each drive mode, and fuel efficiency information of each drive mode. A final fuel efficiency of each drive mode is calculated using a drive distance of each drive mode, a consumption energy of each drive mode or a fuel efficiency of each drive mode, and a learning fuel efficiency. A DTE of each drive mode is then calculated based on the calculated final fuel efficiency of each drive mode.
Method for monitoring the functions of a friction clutch
A method is disclosed for monitoring the functions of a friction clutch which is arranged in a vehicle between a drive motor and a compressor of a compressed air supply system and which can be disengaged and engaged pneumatically. In a delivery mode of the compressor, at least one operating parameter is detected by sensor and evaluated in an electronic control unit. When a slipping condition of the friction clutch is identified, a value for a cut-off pressure of the compressor stored in the electronic control unit is reduced. When a slipping condition has been identified, the delivery mode of the compressor is ended by disengagement of the friction clutch, and a warning signal and/or warning information is outputted.
VEHICLE PATH VERIFICATION
Based on a set of planned control parameters defining a planned path for a vehicle, a set of reference control parameters corresponding to the set of planned path control parameters are identified. Optimized controller inputs associated with the identified set of reference control parameters, the set of planned control parameters, and operation noise data are input to a vehicle dynamics model that outputs a vehicle state model. Based on the vehicle state model, an actual path for the vehicle and an operating range for the actual path are determined. The planned path is determined to be one of verified or unverified based on the operating range.
EFFICIENT POWER TRANSFER TO ELECTRIC VEHICLES
An ability of a power transmission device to transfer electric charge in a power-transmission area at a particular point in time is identified. The ability comprises a threshold number of vehicles to which the power-transmission device can transfer electric charge with at least a threshold efficiency. A predicted number of electric vehicles that are likely to be requesting electric charge within the power-transmission area at the particular point in time is calculated. The number of electric vehicles that are likely to be requesting electric charge within the power-transmission area at the particular point in time is adjusted based on a determination that the predicted number of vehicles is not bound by the threshold number of vehicles.
Systems and methods for battery-driven personal mobility vehicle management in dynamic transportation networks
The disclosed computer-implemented method may include tracking personal mobility vehicle batteries. In some embodiments, the method may track and maintain battery power for personal mobility vehicles to help to ensure that there are personal mobility vehicles with sufficient charge available to perform the needed transportation tasks within a dynamic transportation network. In some examples, a swappable battery for a personal mobility vehicle may communicate with a dynamic transportation management system and provide information about current and/or historical charge information. In some examples, the method may use the current state of charge and/or historical charge information to predict the performance of the battery. Based on the predicted performance, the method may predict the range of a personal mobility vehicles with the battery and/or a lifespan of the battery and make matching decisions accordingly. Various other methods, systems, and computer-readable media are also disclosed.
VEHICLE AND CONTROL METHOD THEREOF
A vehicle includes a power supply including a battery, a display, a storage configured to store a power matching data, and a fuel efficiency matching data, and a controller configured to determine driving power supplied by the battery, determine a current driving fuel efficiency corresponding to a reference weight based on the driving power and the power matching data, determine the current weight of the vehicle, determine a first fuel efficiency based on an accumulated driving fuel efficiency accumulated from a previous charging time point to a current charging time point and the current driving fuel efficiency at the current charging time point, determine a second fuel efficiency based on the fuel efficiency matching data and the first fuel efficiency corresponding to each of the existing weight and the current weight, determine the estimated driving distance of the vehicle based on the charging capacity of the battery and the second fuel efficiency, and output the estimated driving distance to the display.