A hybrid electric vehicle energy optimization strategy by using fueling control in diesel engines
This paper addresses a control scheme for a parallel hybrid vehicle powertrain by introducing fueling control techniques. Since a diesel engine is involved in the proposed configuration, the control of fuel injection mass and timing becomes a crucial issue. In this study, these two variables are selected as control inputs for the hybrid powertrain system. Meanwhile, an optimization-based control strategy is designed to solve the hybrid electric vehicle power management problem by incorporating engine brake specific fuel consumption characteristics with regard to fuel injection control variables. To show the advantages of the proposed control scheme, another optimization-based strategy with fixed fuel injection timing is developed and implemented for comparison. The influence of NOx emission is also considered in control strategy and simulation results to show that the proposed fuel control technique has limited impact on NOx emission but imposes a considerable improvement on fuel saving.
- Record URL:
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09544070
-
Supplemental Notes:
- Reprinted by permission of Sage Publications, Ltd.
-
Authors:
- Huo, Yi
- Yan, Fengjun
- Feng, Daiwei
- Publication Date: 2019-2
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 517-530
-
Serial:
- Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
- Volume: 233
- Issue Number: 3
- Publisher: Sage Publications Limited
- ISSN: 0954-4070
- EISSN: 2041-2991
- Serial URL: http://pid.sagepub.com/content/current
Subject/Index Terms
- TRT Terms: Control systems; Diesel engines; Electric vehicles; Energy consumption; Fuel injection; Hybrid vehicles; Optimization
- Subject Areas: Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01695302
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 21 2019 9:51AM