Fuel management system and method

1. A fuel management system comprising:

a centralized processor;

a first module of the centralized processor configured to receive a plurality of fuel transaction data points from one or more fuelling stations;

a second module of the centralized processor configured to receive a plurality of vehicle parameters from one or more vehicles;

a third module of the centralized processor configured to process, according to a pre-defined set of rules, at least a part of the data received by the first module and the second module in combination with a set of information associated with each vehicle accessible to the third module, and to generate one or more reports providing a summary of the processing comprising analysis on fuel consumption, fuel fraud, CO2 emission, driver behavior and journey breakdown, and to calculate the vehicle mass in real-time, using mass inputs, to determine a distance weighted average payload of the vehicle; and

a fourth module of the centralized processor configured to store the one or more reports generated by the third module.

2. The fuel management system of claim 1 , wherein the fuel transaction data points comprises one or more of the fuelling station location, the fuelling station number, date of transaction, time of transaction, fuel product type transacted, fuel quantity transacted and used fuel card's information.

3. The fuel management system of claim 1 , wherein the vehicle parameters comprises one or more of vehicle identification number, driver identification number, GPS information for the vehicle, fuel tank level change, engine torque, gear ratio, vehicle speed, vehicle acceleration, total distance covered, engine speed, brake pedal state, throttle pedal state, clutch pedal state, power take off (PTO) state, clutch pedal activation time, brake pedal activation time, clock time reading, odometer reading and engine coolant temperature.

4. The fuel management system of claim 1 , wherein the set of information associated with each vehicle comprises vehicle identification number, driver identification number, fuel card information, route maps of the vehicles, wheel radius, vehicle unladen weight, available payload capacity and historical data associated with each vehicle and driver.

5. The fuel management system of claim 1 , wherein the processing according to a predefined set of rules comprises determining if there is an anomaly between the fuel quantity transacted and the fuel tank level change in the vehicles and generate a fuel fraud alert if an anomaly is determined or else log the fuel transaction process as a refuelling event.

6. The fuel management system of claim 1 , wherein the processing according to a predefined set of rules comprises determining the standard bio-content of the transacted fuel product type and then distance weighting the bio-content to report the average bio-content of the fuel used.

7. The fuel management system of claim 1 , wherein the processing according to a predefined set of rules comprises determining the CO2 efficiency of the plurality of vehicles based on fuel volume used, average bio-content of the fuel used, distance weighted average payload of the vehicle and the total distance traversed.

8. A method for fuel management comprising:

receiving a plurality of fuel transaction data points at a centralized processor from a plurality of fuelling stations;

receiving a plurality of vehicle parameters at the centralized processor from a plurality of vehicles; and

processing, using the centralized processor, according to a pre-defined set of rules, at least a part of the fuel transaction data points and the vehicle parameters in combination with a set of information associated with each vehicle accessible to the centralized processor;

calculating a vehicle mass for at least one of the plurality of vehicles in real-time, using mass inputs, to determine a distance weighted average payload of the at least one vehicle;

generating one or more reports providing a summary of the processing comprising analysis on fuel consumption, fuel fraud, fuel theft, fuel overfill, CO2 emission, driver behavior and journey breakdown; and

storing the one or more reports generated in a memory unit of the centralized processor.