|
Descripción
|
|
|---|---|
| One of the great problems of electric vehicles is the limited autonomy, which causes stress on drivers of insecurity to reach the destination. Vehicles implement algorithms for the estimation of autonomy depending on driving style from the previous sections. However, it is easy to see that this estimation of power consumption is not always reliable and does not take into account relevant factors of influence. This paper presents a consumption estimation based on the knowledge of how the way of driving and the route. To this end, a neural network have been developed which takes as input data information from the CAN bus, data from specific instrumentation and vehicle positioning, and provides as output variable the state of charge consumption. Tests have been performed with 8 drivers along 2 routes of different characteristics in Madrid (Spain) and results have been highly successful. | |
|
Internacional
|
Si |
|
Nombre congreso
|
22nd World Congress and Exhibition on Intelligent Transport Systems and Services. |
|
Tipo de participación
|
960 |
|
Lugar del congreso
|
Bordeaux |
|
Revisores
|
Si |
|
ISBN o ISSN
|
0000-0000 |
|
DOI
|
|
|
Fecha inicio congreso
|
05/10/2015 |
|
Fecha fin congreso
|
09/10/2015 |
|
Desde la página
|
1 |
|
Hasta la página
|
8 |
|
Título de las actas
|
ITS WORLD CONGRESS 2015 proceedings |