Energy Prediction for EVs Using Support Vector Regression Methods-Reference-Cited by-同舟云学术

Energy Prediction for EVs Using Support Vector Regression Methods

Published:2015 Issue: Volume: Page:769-780
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Grubwinkler Stefan,Lienkamp Markus

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-11310-4_67

Reference17 articles.

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2. Olivia, J., Weihrauch, C., Bertram, T.: A Model-Based Approach for Predicting the Remaining Driving Range in Electric Vehicles. In: Proc. of the Annual Conference of the Prognostics and Health Management Society, New Orleans (2013)

3. Yu, H., Tseng, F., McGee, R.: Driving pattern identification for EV range estimation. In: IEEE International Electric Vehicle Conference (IEVC), pp. 1–7 (2012)

4. Karbowski, D., Smis-Michel, V., Vermeulen, V.: Using Trip Information for PHEV Fuel Consumption Minimization. In: Proc. of EVS27 International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium, Barcelona (2013)

5. Rodgers, L., Frey, D., Wilhelm, E.: Conventional and novel methods for estimating an electric vehicle’s “distance to empty”. In: Proc. of the ASME 2013 International Conference on Advanced Vehicle Technologies, Portland (2013)

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