TY - JOUR
T1 - Optimal Cost-Emission Trade-off for Plug-in Hybrid Electric Vehicles around Zero Emission Zones using a Supervisory Energy and Emissions Management Strategy
AU - Aronis, André
AU - Willems, Frank P.T.
AU - Kupper, Frank
AU - Pla, Benjamin
PY - 2025/1
Y1 - 2025/1
N2 - The growing call for pollution-free environments has prompted the creation of zero-emission zones (ZEZs) around the world. For regional and national transport, plug-in hybrid electric vehicle (PHEV) are an attractive option, which also offer ZE driving. To address the PHEV challenges of sufficient ZE driving range and of meeting real-world emission targets outside the ZEZs, this work proposes an adaptive supervisory control strategy, which minimizes the total operational costs while complying with tailpipe (Formula presented.) emissions constraints. It combines a Modular Energy Management Strategy (MEMS), for cost-optimal power-split, with an Integrated Emission Management (IEM) strategy for determining the cost-optimal air path setting of the internal combustion engine. A real-time implementable, optimal control strategy is derived based on Pontryagin’s Minimum Principle. To determine the optimal selection of the co-states used in this strategy, a numerical optimization is performed for different route segments and real-world cycles. This study demonstrates that PHEVs can successfully be operated around ZEZs. The best performance is realized with an adaptive supervisory control strategy with different co-states per route segment; compared to the standard strategy with fixed co-states, this proposed strategy was able to achieve cost and (Formula presented.) emission reductions of up to 10% and 22%, respectively, for the studied real-world cycles.
AB - The growing call for pollution-free environments has prompted the creation of zero-emission zones (ZEZs) around the world. For regional and national transport, plug-in hybrid electric vehicle (PHEV) are an attractive option, which also offer ZE driving. To address the PHEV challenges of sufficient ZE driving range and of meeting real-world emission targets outside the ZEZs, this work proposes an adaptive supervisory control strategy, which minimizes the total operational costs while complying with tailpipe (Formula presented.) emissions constraints. It combines a Modular Energy Management Strategy (MEMS), for cost-optimal power-split, with an Integrated Emission Management (IEM) strategy for determining the cost-optimal air path setting of the internal combustion engine. A real-time implementable, optimal control strategy is derived based on Pontryagin’s Minimum Principle. To determine the optimal selection of the co-states used in this strategy, a numerical optimization is performed for different route segments and real-world cycles. This study demonstrates that PHEVs can successfully be operated around ZEZs. The best performance is realized with an adaptive supervisory control strategy with different co-states per route segment; compared to the standard strategy with fixed co-states, this proposed strategy was able to achieve cost and (Formula presented.) emission reductions of up to 10% and 22%, respectively, for the studied real-world cycles.
KW - Energy management
KW - emissions control
KW - optimal control
KW - plug-in hybrid electric vehicles
KW - zero emission zone
UR - http://www.scopus.com/inward/record.url?scp=85203294655&partnerID=8YFLogxK
U2 - 10.1177/14680874241271819
DO - 10.1177/14680874241271819
M3 - Article
SN - 1468-0874
VL - 26
SP - 118
EP - 134
JO - International Journal of Engine Research
JF - International Journal of Engine Research
IS - 1
ER -