Abstract
In this paper, we propose to solve the ecodriving problem using a Sequential Quadratic Programming (SQP) algorithm. We formulate the ecodriving problem as a discrete-time (possibly nonconvex) nonlinear optimal control problem, and form convex SQP subproblems by using a linearized objective function with Thikhonov regularization. We will further show that the SQP algorithm can be embedded in a distributed optimization approach, allowing it to be used for Complete Vehicle Energy Management (CVEM), incorporating optimal control of the vehicle's auxiliary systems, in combination with ecodriving. We consider two case studies for the ecodriving problem. The first case study concerns the optimal control of a full electric vehicle, which has one control input and two states and is solved with the SQP algorithm. The second case study lays a foundation for CVEM with ecodriving, where we solve an energy management problem with ecodriving for a series-hybrid electric vehicle, using the aforementioned SQP algorithm and dual decomposition.
| Original language | English |
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| Title of host publication | 2018 Annual American Control Conference, ACC 2018 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 4002-4007 |
| Number of pages | 6 |
| ISBN (Print) | 9781538654286 |
| DOIs | |
| Publication status | Published - 9 Aug 2018 |
| Event | 2018 American Control Conference (ACC 2018) - Hilton Milwaukee City Center Hotel, Milwaukee, Wisconsin, United States Duration: 27 Jun 2018 → 29 Jun 2018 http://acc2018.a2c2.org/ |
Conference
| Conference | 2018 American Control Conference (ACC 2018) |
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| Abbreviated title | ACC 2018 |
| Country/Territory | United States |
| City | Milwaukee, Wisconsin |
| Period | 27/06/18 → 29/06/18 |
| Internet address |