Predictive energy management for parallel hydraulic hybrid passenger vehicle

Timothy O. Deppen, Andrew G. Alleyne, Kim A. Stelson, Jonathan J. Meyer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a model predictive control (MPC) approach is presented for solving the energy management problem in a parallel hydraulic hybrid vehicle. The hydraulic hybrid vehicle uses variable displacement pump/motors to transfer energy between the mechanical and hydraulic domains and a high pressure accumulator for energy storage. A model of the parallel hydraulic hybrid powertrain is presented which utilizes the Simscape/Simhydraulics toolboxes of Matlab. These toolboxes allow for a concise description of the relevant powertrain dynamics. The proposed MPC regulates the engine torque and pump/motor displacement in order to track a desired velocity profile while maintaining desired engine conditions. In addition, logic is applied to the MPC to prevent high frequency cycling of the engine. Simulation results demonstrate the capability of the proposed control strategy to track both a desired engine torque and vehicle velocity.

Original languageEnglish (US)
Title of host publicationASME 2010 Dynamic Systems and Control Conference, DSCC2010
Pages185-192
Number of pages8
DOIs
StatePublished - Dec 1 2010
EventASME 2010 Dynamic Systems and Control Conference, DSCC2010 - Cambridge, MA, United States
Duration: Sep 12 2010Sep 15 2010

Publication series

NameASME 2010 Dynamic Systems and Control Conference, DSCC2010
Volume2

Other

OtherASME 2010 Dynamic Systems and Control Conference, DSCC2010
CountryUnited States
CityCambridge, MA
Period9/12/109/15/10

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ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Deppen, T. O., Alleyne, A. G., Stelson, K. A., & Meyer, J. J. (2010). Predictive energy management for parallel hydraulic hybrid passenger vehicle. In ASME 2010 Dynamic Systems and Control Conference, DSCC2010 (pp. 185-192). (ASME 2010 Dynamic Systems and Control Conference, DSCC2010; Vol. 2). https://doi.org/10.1115/DSCC2010-4105