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A Hierarchical Model Predictive Control Based Connected Series Hybrid Electric Vehicle Energy Management Considering Speed Planning
Technical Paper
2022-01-7064
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In the context of global warming and energy shortage crisis, how to deal with
vehicle speed planning and energy management strategies using intelligent
connected information is one of the most significant ways to improve traffic
efficiency and vehicle fuel economy. In this paper, a hierarchical model
predictive control algorithm based on the connected environment is designed for
the study of series hybrid electric vehicles (HEVs). The higher level and the
lower level controller share information with each other and solve two different
problems aiming at improving its fuel efficiency. V2X (Vehicle to Everything)
information is used as an input for the high-level controller to establish a
model predictive framework to plan the future speed and improve its stability of
the whole vehicle platoon. The low-level MPC provides a real-time HEV energy
management strategy. The result shows that our hierarchical algorithm can
achieve the vehicle platoon follow-up control while maintaining the fuel
economy.
Authors
Topic
Citation
Tan, S., Lin, Y., Hu, B., and Chen, J., "A Hierarchical Model Predictive Control Based Connected Series Hybrid Electric Vehicle Energy Management Considering Speed Planning," SAE Technical Paper 2022-01-7064, 2022, https://doi.org/10.4271/2022-01-7064.Also In
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