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Rolling Optimization Shift Strategy of Heavy Truck Considering Power Interruption in Shift Process WeichaiPower Company Limited

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Liu, Xingyi, author.
Contributor:
Gao, Jinhao
Lv, Dongxuan
Kang, Song
Sun, Xiaopeng
Xie, Hui
Zhang, Leibo
Zhou, Quanyu
Conference Name:
SAE 2024 Vehicle Powertrain Diversification Technology Forum (2024-12-06 : Xi'An, China)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2025
Summary:
The optimization of gear shifting is a critical process in heavy-duty trucks for adjusting engine operating points, enabling a multi-objective balance between power, fuel efficiency, and comfort. However, this process is challenged by the nonlinear characteristics of engine fuel consumption, power interruptions during AMT (Automated Manual Transmission) shifts, and uncertainties in driving conditions. This study proposes a rolling optimization shift strategy for heavy trucks equipped with AMT, based on a multi-scale prediction of internal combustion engine fuel consumption on the road.Firstly, a predictive model for the energy efficiency and dynamics of heavy-duty trucks with AMT was developed, accounting for the engine's engine's operating condition points and power interruptions during shifting. Secondly, a future power demand, vehicle speed, and fuel consumption prediction algorithm was designed, iterating based on accelerator pedal position forecasts and dynamic modeling. Finally, integrating the predicted future conditions, fuel consumption, and road characteristics, a cloud-assisted optimal gear rolling optimization algorithm was established, achieving a compromise between fuel consumption, shift frequency, and vehicle performance.Simulation results on the GT-SUITE platform indicated that, compared with the rule-based shifting strategy in the ECU (Electronic Control Unit), the proposed method reduces fuel consumption by 2.1 % and shift frequency by 15.9 % under the C-WTVC. (C-WTVC refers to a driving cycle based on the World Transient Vehicle Cycle (WTVC) for heavy-duty commercial vehicles. It is modified by adjusting acceleration and deceleration to create a driving profile.) Road tests on heavy-duty trucks demonstrated fuel savings of 10.52 % in a 2-kilometer full acceleration scenario with 20%pedal, 7.26%savings with 90%pedal, and 4.32 % savings under free driving conditions. These results confirmed the effectiveness of the proposed method
Notes:
Vendor supplied data
Publisher Number:
2025-01-7036
Access Restriction:
Restricted for use by site license

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