IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
|
출원번호 |
US-0730283
(2012-12-28)
|
등록번호 |
US-8791810
(2014-07-29)
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발명자
/ 주소 |
- Richter, Jan
- Steer, Kent C. B.
|
출원인 / 주소 |
- International Business Machines Corporation
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대리인 / 주소 |
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인용정보 |
피인용 횟수 :
0 인용 특허 :
4 |
초록
▼
An optimal vehicle battery recommendation system includes at least one sensor to detect a manipulation of the vehicle. A driver behavior module determines a driving behavior of a driver of the vehicle. A vehicle consumption module determines battery information of an on-board battery currently conne
An optimal vehicle battery recommendation system includes at least one sensor to detect a manipulation of the vehicle. A driver behavior module determines a driving behavior of a driver of the vehicle. A vehicle consumption module determines battery information of an on-board battery currently connected to the vehicle, and determines energy consumption of the vehicle. A battery capacity advisor module is in electrical communication with the driver behavior module and the vehicle consumption module. The battery capacity module determines a replacement battery option that changes at least one battery characteristic of the on-board battery based on the driver behavior model and the vehicle consumption model.
대표청구항
▼
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-boa
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; anddetermining 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; andgenerating 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; anddetermining 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; andgenerating 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.
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