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Towards Real-Time Identification of Electric Vehicle Mass
Technical Paper
2013-01-0063
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
A growing number of electric vehicles (EV's) are being used in fleet applications, creating a need for accurate estimates of vehicle mass while the vehicles are in operation. In this work, on-road energy use data are compared with simulated energy use to identify vehicle mass. The testing was performed on an electric Ford Transit Connect light-duty delivery vehicle in service with the Massachusetts Institute of Technology's facilities department. Driving data was collected using specific protocols designed to yield optimal inputs for identification, as well under normal driving conditions for evaluating the algorithms ability to identify parameters in worst-case scenarios. In this work, the identified mass is used to optimize fleet performance by providing more insight into the in-service weight of the vehicles, as well as by providing better electric vehicle range estimates to improve fleet utilization. Parameter identification methods have been developed for various other purposes, such as ensuring appropriate tire inflation levels, powertrain degradation and road quality monitoring, etc. but the methods and models presented in this work are deliberately simple to be useful in real-time applications. The methods presented here are designed for vehicles with well-conditioned efficiency maps such as EV's, Fuel Cell Electric Vehicles (FCEV's) and some hybrid architectures. While the models presented in this work are less complicated than many contemporary identification models, when combined with the accompanying signal analysis algorithms they are nevertheless able to consistently identify vehicle mass with less than 4% absolute error.
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Citation
Wilhelm, E., Rodgers, L., Bornatico, R., and Soh, G., "Towards Real-Time Identification of Electric Vehicle Mass," SAE Technical Paper 2013-01-0063, 2013, https://doi.org/10.4271/2013-01-0063.Also In
References
- Wilhelm , E. , Bornatico , R. , Widmer , R. , Rodgers , L. , and Soh , G. S. Electric Vehicle Parameter Identification EVS26 6 May 2012 Los Angeles, California
- Guzzella , L. and Sciarretta , A. Vehicle Propulsion Systems 2nd Springer 2007
- Griffith , J. M. and Venhuizen , J. R. Least-squares estimates of automotive-drag coefficients from coast-down tests American Control Conference 18 June 1986 Seattle, WA
- Preda , I. , Covaciu , D. , and Ciolan , G. Coast Down Test - Theoretical and Experimental Approach CONAT 2010 International Automotive Congress 27 October 2010 Brasov, Romania
- Petrushov , V. A. Improvement in vehicle aerodynamic drag and rolling resistance determination from coast-down tests Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 212 369 380 1998
- Howell , J. , Sherwin , C. , Passmore , M. , and Le Good , G. Aerodynamic Drag of a Compact SUV as Measured On-Road and in the Wind Tunnel SAE Technical Paper 2002-01-0529 2002 10.4271/2002-01-0529
- Korst , H. , White , R. , and Metz , L. Road Evaluation of the Aerodynamic Characteristics of Heavy Trucks SAE Technical Paper 2007-01-4297 2007 10.4271/2007-01-4297
- Vahidi , A. , Stefanopoulou , A. , and Peng , H. Recursive Least Squares with Forgetting for Online Estimation of Vehicle Mass and Road Grade: Theory and Experiments Vehicle System Dynamics 3 1 2005
- Bae , H. S. , Ryu , J. , and Gerdes , C. Road grade and vehicle parameter estimation for longitudinal control using GPS Proceedings of IEEE Conference on Intelligent Transportation Systems 2001 San Francisco, CA IEEE
- Zarringhalam , R. , Rezaeian , A. , Melek , W. , Khajepour , A. , Chen , S. , and Moshchuk , N. A comparative study on identification of vehicle inertial parameters 2012 American Control Conference 27 June 2012 Montréal, Canada
- Pence , B. L. Recursive Parameter Estimation using Polynomial Chaos Theory Applied to Vehicle Mass Estimation for Rough Terrain PhD Thesis University of Michigan 2011
- Azure Dynamics Azure Dynamics - Transit Connect Electric http://www.azuredynamics.com/products/transit-connect-electric.htm 11 October 2012
- Kvaser Kvaser Eagle Specifications http://www.kvaser.com/index.php?option=com_php&Itemid=259&eaninput=7330130005679 24 October 2012
- HP Wizard The Effects of Rotational Inertia on Automotive Acceleration http://hpwizard.com/rotational-inertia.html 12 October 2012
- Mathworks Time Series - MATLAB & Simulink http://www.mathworks.com/help/matlab/time-series.html 24 October 2012
- Mathworks Synchronize and resample two timeseries objects using common time vector - MATLAB http://www.mathworks.com/help/matlab/ref/timeseries.synchronize.html 24 October 2012
- Mathworks Find local maxima - MATLAB http://www.mathworks.com/help/signal/ref/findpeaks.html 24 October 2012
- Cheah , L. Cars on a Diet: The Material and Energy Impacts of Passenger Vehicle Weight Reduction in the U.S. Doctoral Thesis Massachusetts Institute of Technology 2010
- Robinson , R. and Cook , S. J. Slippery Road Detection and Evaluation RC-1573 The University of Michigan Lansing MI 2012