Abstract
To simultaneously achieve high fuel efficiency and low emissions in a diesel hybrid electric vehicle (DHEV), it is necessary to optimize not only power split but also exhaust thermal management for emission aftertreatment systems. However, how to coordinate the power split and the exhaust thermal management to balance fuel economy improvement and emissions reduction remains a formidable challenge. In this paper, a hierarchical model predictive control (MPC) framework is proposed to coordinate the power split and the exhaust thermal management. The method consists of two parts: a fuel and thermal optimized controller (FTOC) combining the rule-based and the optimization-based methods for power split simultaneously considering fuel consumption and exhaust temperature, and a fuel post-injection thermal controller (FPTC) for exhaust thermal management with a separate fuel injection system added to the exhaust pipe. Additionally, preview information about the road grade is introduced to improve the power split by a fuel and thermal on slope forecast optimized controller (FTSFOC). Simulation results show that the hierarchical method (FTOC + FPTC) can reach the optimal exhaust temperature nearly 40 s earlier, and its total fuel consumption is also reduced by 8.9%, as compared to the sequential method under a world light test cycle (WLTC) driving cycle. Moreover, the total fuel consumption of the FTSFOC is reduced by 5.2%, as compared to the fuel and thermal on sensor-information optimized controller (FTSOC) working with real-time road grade information.
Highlights
State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, School of Artificial Intelligence, Jilin University, Changchun 130025, China
Preview information information about road grade is introduced to improve the power split by a fuel and thermal on about road grade is introduced to improve the power split by a fuel and thermal on slope forecast optimized controller (FTSFOC)
Simulation results show that the hierarchical slope forecast optimized controller (FTSFOC)
Summary
State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, School of Artificial Intelligence, Jilin University, Changchun 130025, China. To simultaneously achieve high fuel efficiency and low emissions in a diesel hybrid electric vehicle (DHEV), it is necessary to optimize power split and exhaust thermal management for emission aftertreatment systems. Simulation results show that the hierarchical method (FTOC + FPTC) can reach the optimal exhaust temperature nearly 40 s earlier, and its total fuel consumption is reduced by 8.9%, as compared to the sequential method under a world light test cycle (WLTC) driving cycle. Introduction with regard to jurisdictional claims in Diesel vehicles have a higher performance in fuel economy and reliability as compared to gasoline vehicles Their high NOx and particulate matter (PM) emissions remain a concern [1]. The working mode of diesel hybrid electric vehicles (DHEVs) can improve fuel economy and reduce emissions, including that of NOx , PM and CO2 , etc. There have been many studies on HEVs, but the establishment of and discussion around complete models, including aftertreatment systems, for DHEVs are lacking
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