A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles
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...
| Main Authors: | , , , , , , , |
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| Format: | Conference item |
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Elsevier
2016
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| _version_ | 1797104773667749888 |
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| author | Ober-Blöbaum, S Eckstein, J Peitz, S Schäfer, K Friedel, P Köhler, U Molo, M Dellnitz, M |
| author_facet | Ober-Blöbaum, S Eckstein, J Peitz, S Schäfer, K Friedel, P Köhler, U Molo, M Dellnitz, M |
| author_sort | Ober-Blöbaum, S |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-07T06:38:15Z |
| format | Conference item |
| id | oxford-uuid:f864f1b4-3dc0-44c6-923d-2714e5781273 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T06:38:15Z |
| publishDate | 2016 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:f864f1b4-3dc0-44c6-923d-2714e57812732022-03-27T12:49:55ZA comparison of two predictive approaches to control the longitudinal dynamics of electric vehiclesConference itemhttp://purl.org/coar/resource_type/c_5794uuid:f864f1b4-3dc0-44c6-923d-2714e5781273Symplectic Elements at OxfordElsevier2016Ober-Blöbaum, SEckstein, JPeitz, SSchäfer, KFriedel, PKöhler, UMolo, MDellnitz, MIn 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. |
| spellingShingle | Ober-Blöbaum, S Eckstein, J Peitz, S Schäfer, K Friedel, P Köhler, U Molo, M Dellnitz, M A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles |
| title | A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles |
| title_full | A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles |
| title_fullStr | A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles |
| title_full_unstemmed | A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles |
| title_short | A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles |
| title_sort | comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles |
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