Predictive energy management with engine switching control for hybrid electric vehicle via ADMM
Artikel i vetenskaplig tidskrift, 2023

This paper studies energy management (EM) of a power-split hybrid electric vehicle (HEV) equipped with planetary gear sets. We first formulate a mixed-integer global optimal control problem that includes a binary switching variable. Convex modeling, including the fuel model for a compound energy conversion unit, is then presented to reformulate the mixed-integer EM as a two-step program. For optimizing the engine switching and battery power decisions in the first step, we employ the alternating direction method of multipliers (ADMM) algorithm where the solution of the convex relaxation is used to initialize the non-convex problem. On the standard driving cycle, simulation results indicate that the ADMM based EM method saves 7.63% fuel compared to a heuristic method, and shows 99% optimality compared to a dynamic programming method, while saving three orders of magnitude in computing time. An ADMM combined model predictive control (ADMM-MPC) method is also developed that is suitable for receding horizon control scenarios. The ADMM-MPC method shows 5.28% fuel saving when implemented using a prediction horizon of 15 samples. Meanwhile, the mean computing time for MPC updates is 3.53 ms. Our results demonstrate that the proposed ADMM is capable of real-time control.

Mixed-integer nonlinear program

Energy management

Model predictive control

Hybrid electric vehicle

Alternative direction method of multipliers

Dynamic programming

Författare

Fei Ju

Nanjing University of Science and Technology

Nikolce Murgovski

Chalmers, Elektroteknik, System- och reglerteknik

Weichao Zhuang

Southeast University

Xiaosong Hu

Chongqing University

Ziyou Song

Universiti Kebangsaan Singapura (NUS)

Liangmo Wang

Nanjing University of Science and Technology

Energy

0360-5442 (ISSN)

Vol. 263 125971

Ämneskategorier

Beräkningsmatematik

Reglerteknik

Annan elektroteknik och elektronik

DOI

10.1016/j.energy.2022.125971

Mer information

Senast uppdaterat

2022-11-28