Implementation of machine learning based real time range estimation method without destination knowledge for BEVs

作者: HA Yavasoglu , YE Tetik , K Gokce , None

DOI: 10.1016/J.ENERGY.2019.02.032

关键词: Test dataDecision treeMargin of errorDecision tree learningEnergy (signal processing)Machine learningRange (statistics)JerkDriving cycleArtificial intelligenceComputer scienceGeneral EnergyPollution

摘要: … machine learning based advanced range estimation method have been proposed as a new approach that … The gross vehicle weight consists of static curb weight and dynamic payload …

参考文章(37)
E. Oja, Neural networks – advantages and applications Machine Intelligence and Pattern Recognition. ,vol. 16, pp. 359- 365 ,(1994) , 10.1016/B978-0-444-81892-8.50036-5
O. Barić, P. Virtič, M. Vražić, Auxiliary systems consumption in electric vehicle Przegląd Elektrotechniczny. ,(2014) , 10.12915/PE.2014.12.42
Robert J. Schalkoff, Artificial neural networks ,(1997)
Robert B. Noland *, Washington Y. Ochieng, Mohammed A. Quddus, Robin J. North, John W. Polak, The vehicle emissions and performance monitoring system: analysis of tailpipe emissions and vehicle performance Transportation Planning and Technology. ,vol. 27, pp. 431- 447 ,(2004) , 10.1080/0308106042000293480
Anastasia Bolovinou, Ioannis Bakas, Angelos Amditis, Francesco Mastrandrea, Walter Vinciotti, Online prediction of an electric vehicle remaining range based on regression analysis ieee international electric vehicle conference. pp. 1- 8 ,(2014) , 10.1109/IEVC.2014.7056167
Adnan Nuhic, Tarik Terzimehic, Thomas Soczka-Guth, Michael Buchholz, Klaus Dietmayer, Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods Journal of Power Sources. ,vol. 239, pp. 680- 688 ,(2013) , 10.1016/J.JPOWSOUR.2012.11.146
Javier A. Oliva, Christoph Weihrauch, Torsten Bertram, Model-Based Remaining Driving Range Prediction in Electric Vehicles by using Particle Filtering and Markov Chains World Electric Vehicle Journal. ,vol. 6, pp. 204- 213 ,(2013) , 10.3390/WEVJ6010204
Vincent R. Tannahill, Danny Sutanto, Kashem M. Muttaqi, Md Abul Masrur, Future vision for reduction of range anxiety by using an improved state of charge estimation algorithm for electric vehicle batteries implemented with low-cost microcontrollers IET electrical systems in transportation. ,vol. 5, pp. 24- 32 ,(2015) , 10.1049/IET-EST.2014.0013
John G. Hayes, R. Pedro R. de Oliveira, Sean Vaughan, Michael G. Egan, Simplified electric vehicle power train models and range estimation vehicle power and propulsion conference. pp. 1- 5 ,(2011) , 10.1109/VPPC.2011.6043163
M. Ceraolo, G. Pede, Techniques for estimating the residual range of an electric vehicle IEEE Transactions on Vehicular Technology. ,vol. 50, pp. 109- 115 ,(2001) , 10.1109/25.917893