Optimal electric vehicle battery recommendation system

1. A method of optimizing a battery size of an electric vehicle, comprising:

detecting a manipulation of the vehicle;

determining a driving behavior of a driver of the vehicle based on the manipulation;

determining at least one battery characteristic among a set of battery characteristics of an on-board battery currently connected to the vehicle;

determining energy consumption of the vehicle; and

determining a replacement battery option that changes the at least one battery characteristic based on the driver behavior and the vehicle consumption model.

2. The method of claim 1 , wherein the determining a replacement battery option includes at least one of determining a replacement battery to replace the on-board battery and determining a modification of battery layers of the on-board battery, the set of battery characteristics comprising energy storage capacity, specific energy, weight, size, charging and discharging properties and temperature dependence of the on-board battery.

3. The method of claim 2 , wherein the at least one of a replacement battery and a modification of battery layers increases the first specific energy.

4. The method of claim 3 , further comprising:

determining dynamic vehicle data in response to real time manipulation of the vehicle by the driver;

storing the dynamic vehicle data; and

generating a numerical model indicating a driving behavior of the driver and at least one driving preference of the driver.

5. The method of claim 4 , wherein the dynamic vehicle data includes vehicle speed, vehicle acceleration, vehicle breaking, driving distance, and driving duration.

6. The method of claim 5 , wherein the energy consumption model is based on predetermined specifications of the vehicle and the dynamic vehicle data.

7. The method of claim 6 , further comprising determining at least one safety condition of the vehicle, the at least one safety condition including a distance between the vehicle and a nearest recharging station.

8. The method of claim 7 , receiving at least one driver input and outputting at east one alert indicating the replacement battery option.

9. The method of claim 8 , further comprising determining the replacement battery based on an input from the drover.

10. The method of claim 9 , wherein the alert includes at least one of a sound, text describing the replacement battery option, and an image of the replacement battery option.

11. The method of claim 8 , further comprising wirelessly communicating the replacement battery option with a terminal device, the terminal device including at least one of a cell phone, a personal computer, a laptop computer and a tablet computer.

12. The method of claim 11 , further comprising receiving a driver profile input from the user interface and determining the replacement battery option based on the driver profile.

13. A method of optimizing an on-board battery of a vehicle, comprising:

receiving at least one driver profile corresponding to a driver of the vehicle;

determining dynamic vehicle data in response to operation of the vehicle according to the driver;

storing the dynamic vehicle data corresponding to the driver profile;

determining energy consumption of the vehicle; and

determining a replacement battery option that modifies at least one battery characteristic among a set of battery characteristics of the on-board battery based on the dynamic vehicle data of the input driver profile and the energy consumption of the vehicle.

14. The method of claim 13 , wherein the battery capacity module determines the replacement battery in response to inputting the current driver profile among a plurality of driver profiles stored by the driver behavior module.

15. The method of claim 14 , wherein the determining a replacement battery option includes at least one of determining a replacement battery to replace the on-board battery and determining a modification of battery layers of the on-board battery, the set of battery characteristics comprising energy storage capacity, specific energy, weight, size, charging and discharging properties and temperature dependence of the on-board battery.

16. The method of claim 15 , wherein the at least one of a replacement battery and a modification of battery layers increases a specific energy realized by the vehicle.

17. The method of claim 16 , wherein the driver behavior module comprises:

Determining dynamic vehicle data in response to real time manipulation of the vehicle by the driver; and

generating a numerical model of the driving behavior corresponding to the current driver profile.

18. The method of claim 17 , further comprising storing a previous driver profile generated according to a previous driving event, and updating the previous driver profile based on a new driving event.