A Methodology for the Reverse Engineering of the Energy Management Strategy of a Plug-In Hybrid Electric Vehicle for Virtual Test Rig Development
Journal Article
14-11-01-0009
ISSN: 2691-3747, e-ISSN: 2691-3755
Sector:
Topic:
Citation:
Millo, F., Rolando, L., Pulvirenti, L., and Di Pierro, G., "A Methodology for the Reverse Engineering of the Energy Management Strategy of a Plug-In Hybrid Electric Vehicle for Virtual Test Rig Development," SAE Int. J. Elec. Veh. 11(1):113-132, 2022, https://doi.org/10.4271/14-11-01-0009.
Language:
English
Abstract:
Nowadays, the need for more sustainable mobility is fostering powertrain
electrification as a way of reducing the carbon footprint of conventional
vehicles. On the other side, the presence of multiple energy sources
significantly increases the powertrain complexity and requires the development
of a suitable Energy Management System (EMS) whose performance can strongly
affect the fuel economy potential of the vehicle. In such a framework, this
article proposes a novel methodology to reverse engineer the control strategy of
a test case P2 Plug-in Hybrid Electric Vehicle (PHEV) through the analysis of
experimental data acquired in a wide range of driving conditions. In particular,
a combination of data obtained from On-Board Diagnostic system (OBD), Controller
Area Network (CAN)-bus protocol, and additional sensors installed on the High
Voltage (HV) electric net of the vehicle is used to point out any dependency of
the EMS decisions on the powertrain main operating variables. Furthermore, the
impact that Vehicle-to-Infrastructure (V2I) connections have on the control law
is assessed on several tests performing the same real-world route with the
vehicle navigation system alternatively switched on and off. Finally, a virtual
test rig of the tested vehicle, developed in the GT- SUITE environment, is used
to validate the set of extracted rules against the experimental data. An error
of about 1-2% on the prediction of the vehicle CO2 emissions and good
matching of the State of Charge (SoC) profile in both Charge Depleting (CD) and
Charge Sustaining (CS) phases prove the effectiveness of the proposed
methodology.