Conference item
A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles
- Abstract:
- In this contribution we compare two different approaches to the implementation of a Model Predictive Controller in an electric vehicle with respect to the quality of the solution and real-time applicability. The goal is to develop an intelligent cruise control in order to extend the vehicle range, i.e. to minimize energy consumption, by computing the optimal torque profile for a given track. On the one hand, a path-based linear model with strong simplifications regarding the vehicle dynamics is used. On the other hand, a nonlinear model is employed in which the dynamics of the mechanical and electrical subsystem are modeled.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 375.6KB, Terms of use)
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- Publisher copy:
- 10.1016/j.protcy.2016.08.059
Authors
+ Intelligente Technische Systeme Ostwestfalen-Lippe
More from this funder
- Grant:
- Reichweitenerweiterung elektrisch angetriebener Fahrzeuge - ReelaF
- Publisher:
- Elsevier
- Host title:
- SysInt 2016: 3rd International Conference on System-Integrated Intelligence
- Journal:
- SysInt 2016 More from this journal
- Publication date:
- 2016-10-01
- Acceptance date:
- 2016-04-04
- DOI:
- ISSN:
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2212-0173
- Keywords:
- Pubs id:
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pubs:627550
- UUID:
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uuid:f864f1b4-3dc0-44c6-923d-2714e5781273
- Local pid:
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pubs:627550
- Source identifiers:
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627550
- Deposit date:
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2016-06-12
- ARK identifier:
Terms of use
- Copyright holder:
- Eckstein et al
- Copyright date:
- 2016
- Notes:
- © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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