Optimum EV Charge Plan Considering Charging Traffic Jam and Mileage -One of the Systems for Comfortable EV Using -
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20144112
- Paper/Info type
- Other International Conferences
- Pages
- 1-4(Total 4 p)
- Date of publication
- May 2014
- Publisher
- Others, Unknown
- Language
- English
- Event
- EVTeC & APE Japan 2014
Detailed Information
| Category(E) | RS-6: ITS and Public Policy |
|---|---|
| Author(E) | 1) Ippei Matsumoto, 2) Keita Imamura, 3) Kenji Tanaka |
| Affiliation(E) | 1) The University of Tokyo, 2) The University of Tokyo, 3) The University of Tokyo |
| Abstract(J) | 電気自動車を用いて目的地までの到着時間の短縮を目的として，過去の充電スポットの混雑データおよび市街地や高速道路の路面状況ごとに対する走行距離データから，充電スポットの充電渋滞を効率的に回避し最適な充電スポットへ誘導するシステムを構築し，沖縄での実証試験により到着時間の短縮効果を確認した． Translation |
| Abstract(E) | In using EVs, charging battery causes congestions at charging stations. Therefore it is necessary to reduce the time to charge and prevent congestions. There are some papers that proposed charging plan considering charging time, but it is not considered about charging traffic jam. In addition, it is difficult to calculate how long an EV can drive because cruising range can be changed by conditions. The purpose of this study is to propose navigation systems considering charging traffic jam and actual mileage stem from road type. The system mainly consists of three parts. First, required charging amount is calculated. To estimate how much a battery should be charged, the system calculates lack of SOC to arrive at its destination considering road type. Second, simulation of all charge point combination is done by past charging record in Okinawa for a year 2012. Third, all charge plans are evaluated and optimum one is decided. In this simulation, the type of EV used in this simulation is NISSAN LEAF with 24kWh battery. EV's traffic in Okinawa is assumed 10 times as much as that of the peak season in 2012 (from May 3 to May 6) in anticipation of the spread EV in the future. The result of the simulation shows that without considering charging traffic jam, the driver has to wait for charging traffic jam and has to charge three times in whole route. On the other hand, with this system, a driver who submits the best plan can arrive at the destination 22 minutes earlier. It is demonstrated that proposed system is definitely effective for avoiding charging traffic jam and reducing travel time. We are designing a web application and dynamic navigation systems for many drivers. |
