Methods and apparatuses for fuel consumption prediction

A method of fuel consumption prediction, the method comprising the acts of:

• extracting via processing circuitry of the vehicle, from historic travel data for at least one historic travel path of a vehicle, a respective historic fuel consumption for each historic travel path;
• extracting via the processing circuitry of the vehicle, from the historic travel data for each historic travel path, at least one historic fuel-related quantity influencing the respective historic fuel consumption;
• adjusting via the processing circuitry of the vehicle, model parameters of a machine learning model for predicting the fuel consumption based on the extracted respective historic fuel consumption and the at least one historic fuel-related quantity for each historic travel path;
• predicting via the processing circuitry of the vehicle, the fuel consumption for a planned trip using the machine learning model with the adjusted model parameters;
• and
• providing a recommendation via an output device of the vehicle based on the predicted fuel consumption for the planned trip, wherein
• adjusting the model parameters of the machine learning model further comprises:
• determining a first parameter corresponding to a base fuel consumption rate of the vehicle based on the historic travel data, and
• determining a second parameter corresponding to a speed at which the vehicle achieves its maximum range based on the historic travel data, and
• the historic travel data is acquired by at least one of a navigation system of the vehicle, a sensor of the vehicle, a mobile device of a driver of the vehicle, or an electronic control unit of the vehicle.