TY - JOUR
T1 - Integrated power management and aftertreatment system control for hybrid electric vehicles with road grade preview
AU - Ma, Yao
AU - Wang, Junmin
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12
Y1 - 2017/12
N2 - This paper presents a model-based and integrated strategy for hybrid electric vehicle (HEV) power management and aftertreatment control with preview information of road grade. The HEV power management has been well studied for decades to optimize vehicle fuel economy by properly determining the power split ratio between internal combustion engine and electric motor. Meanwhile, the HEV tailpipe emissions have also been decreased, thanks to the implementation of aftertreatment systems, of which selective catalytic reduction (SCR) systems have been widely equipped in ground vehicles powered by diesel engines to reduce NOx emissions. For SCR systems, major efforts are dedicated to design the efficient ammonia dosing strategies for removing NOx without generating excessive ammonia slip at the tailpipe. By coordinately controlling the HEV power management and aftertreatment systems, it is possible to achieve lower fuel consumption and emissions from tailpipe. In addition, the proposed control strategy incorporates the preview road grade information to calculate the optimal torque–split ratio and ammonia dosing amount such that the overall performance can be improved for the trip. The road grade impacts on vehicle fuel consumption and emissions are investigated in this paper. A model-based controller with an explicit consideration of road grade has been analytically developed and verified in simulation environment. The performance of the proposed controller is evaluated under US06 test cycle and comparison results are presented to demonstrate the effectiveness of the proposed design. Controller’s real-time implementation potential is also discussed in this paper.
AB - This paper presents a model-based and integrated strategy for hybrid electric vehicle (HEV) power management and aftertreatment control with preview information of road grade. The HEV power management has been well studied for decades to optimize vehicle fuel economy by properly determining the power split ratio between internal combustion engine and electric motor. Meanwhile, the HEV tailpipe emissions have also been decreased, thanks to the implementation of aftertreatment systems, of which selective catalytic reduction (SCR) systems have been widely equipped in ground vehicles powered by diesel engines to reduce NOx emissions. For SCR systems, major efforts are dedicated to design the efficient ammonia dosing strategies for removing NOx without generating excessive ammonia slip at the tailpipe. By coordinately controlling the HEV power management and aftertreatment systems, it is possible to achieve lower fuel consumption and emissions from tailpipe. In addition, the proposed control strategy incorporates the preview road grade information to calculate the optimal torque–split ratio and ammonia dosing amount such that the overall performance can be improved for the trip. The road grade impacts on vehicle fuel consumption and emissions are investigated in this paper. A model-based controller with an explicit consideration of road grade has been analytically developed and verified in simulation environment. The performance of the proposed controller is evaluated under US06 test cycle and comparison results are presented to demonstrate the effectiveness of the proposed design. Controller’s real-time implementation potential is also discussed in this paper.
KW - Emissions
KW - HEV power management
KW - Road preview
KW - SCR
UR - http://www.scopus.com/inward/record.url?scp=85041691026&partnerID=8YFLogxK
U2 - 10.1109/TVT.2017.2763587
DO - 10.1109/TVT.2017.2763587
M3 - Article
AN - SCOPUS:85041691026
VL - 66
SP - 10935
EP - 10945
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 12
M1 - 8068210
ER -