Dynamic Cruising Range Prediction for Electric Vehicles

作者: Peter Conradi , Philipp Bouteiller , Sascha Hanßen

DOI: 10.1007/978-3-642-21381-6_26

关键词: Metering modeBattery (electricity)Class (computer programming)Automotive engineeringRange (aeronautics)Prediction systemData inputBattery electric vehicleInformation systemComputer science

摘要: Battery electric vehicles (BEVs) require new driver information systems. We anticipate a integrated and networked system class, combining data input from central car systems, drivers’ behaviour environmental parameters. By introducing the mapZero we propose an OEM-independent cruising range prediction system, which combines measurement GIS-system based calculations on ride (see Fig. 1). For first time, can consider range-affecting variables like outside temperatures, driving style preferences, charge metering, navigation, consumption planning, route distance to manage immanent restrictions.

参考文章(2)
Philipp Bouteiller, Peter Conradi, Advanced Mobile Information and Planning Support for EVs (MIPEV) Advanced Microsystems for Automotive Applications 2010. pp. 61- 68 ,(2010) , 10.1007/978-3-642-16362-3_7