Predictive Energy Management for Electric Variable Transmission HEV
Paper i proceeding, 2019

This paper introduces predictive energy management for a hybrid electric powertrain with an electric variable transmission. The optimization of the energy management in hybrid mode is formulated as a bi-level program, in which one static level optimizes the engine speed of a compound unit consists of the engine and electric variable transmission (EVT). The other layer optimizes a dynamic program by splitting power between the compound unit and the battery using equivalent consumption minimization strategy (ECMS). By combining ECMS with dynamic programming (ECMS-DP), the proposed strategy allows the engine on/off control to be also taken into account by iteratively updating the costate. Finally, the efficient ECMS-DP optimization is incorporated into the framework of model predictive control (MPC) and solved in a moving horizon fashion. Computation efficiency and optimization results are presented by simulation. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

ECMS-DP

predictive control

Hybrid electric vehicle

electric variable transmission

Författare

Zetao Ma

Harbin Institute of Technology

Nikolce Murgovski

Chalmers, Elektroteknik, System- och reglerteknik, Mekatronik

Shumei Cui

Harbin Institute of Technology

IFAC-PapersOnLine

2405-8963 (ISSN)

Vol. 52 5 417-422

9th IFAC Symposium on Advances in Automotive Control AAC 2019
Orléans, France,

Ämneskategorier

Rymd- och flygteknik

Reglerteknik

DOI

10.1016/j.ifacol.2019.09.067

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Senast uppdaterat

2019-12-16