Modeling and Integrated Optimization of Power Split and Exhaust Thermal Management on Diesel Hybrid Electric Vehicles

Jinghua Zhao, Yunfeng Hu, Fangxi Xie, Xiaoping Li, Yao Sun, Hongyu Sun and Xun Gong
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Jinghua Zhao: State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, Changchun 130025, China
Yunfeng Hu: State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, Changchun 130025, China
Fangxi Xie: State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, Changchun 130025, China
Xiaoping Li: State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, Changchun 130025, China
Yao Sun: State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, Changchun 130025, China
Hongyu Sun: Computer College, Jilin Normal University, Siping 136000, China
Xun Gong: State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, Changchun 130025, China

Energies, 2021, vol. 14, issue 22, 1-22

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.

Keywords: diesel hybrid electric vehicle (DHEV); power split; exhaust thermal management; nonlinear model predictive control (NMPC) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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