| Title | Accuracy Evaluation by GPS Data Correction for the EV Energy Consumption Database |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Uemura, Toshiaki, Kashiwabara, Yuta, Kawanuma, Daiki, Tomii, Takashi |
| Conference Name | Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4759-4 |
| Keywords | compositionality, energy, human factors, map matching, pubcrawl, sensor database, Smart grid, Smart Grid Sensors, vehicle daily log |
| Abstract | Electric vehicles (EVs) are expected to be applicable to smart grids because they have large-capacity batteries. It is important that smart grid users be able to estimate surplus battery energy and/or surplus capacity in advance of deploying EVs. We constructed a database, the Energy COnsumption LOG (ECOLOG) Database System, to store vehicle daily logs acquired by smartphones placed in vehicles. The electrical energy consumption is estimated from GPS coordinate data using an EV energy-consumption model. This research specifically examines commuting with a vehicle used for same route every day. We corrected GPS coordinate data by map matching, and input the data to the EV energy consumption model. We regard the remaining battery capacity data acquired by the EV CAN as correct data. Then we evaluate the accuracy of driving energy consumption logs as estimated using the corrected GPS coordinate data. |
| URL | http://doi.acm.org/10.1145/3004010.3004044 |
| DOI | 10.1145/3004010.3004044 |
| Citation Key | uemura_accuracy_2016 |
Accuracy Evaluation by GPS Data Correction for the EV Energy Consumption Database