In this paper, a real-time and distributed solution to Complete Vehicle Energy Management (CVEM) is presented using a receding control horizon in combination with a dual decomposition. The dual decomposition allows the CVEM optimization problem to be solved by solving several smaller optimization problems. The receding horizon control problem is formulated with variable sample intervals, allowing for large prediction horizons with only a limited number of decision variables and constraints. The receding horizon control problem is solved for a case study of a hybrid heavy-duty vehicle, equipped with a high-voltage battery system and a refrigerated semi-trailer. Simulations demonstrate that close to optimal performance in terms of fuel consumption is obtained. The average execution time is 11.4 ms demonstrating that the proposed solution method is indeed real-time implementable.
|Publication status||Published - 2015|
|Event||4th IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling (E-COSM '15), August 23-26, 2015, Columbus, OH, USA - Ohio State University, Columbus, United States|
Duration: 23 Aug 2015 → 26 Aug 2015