Study on the Rule-based Control Strategy for PHEV According to Two-state Dynamic Programming Algorithm
Comprehensive optimization of fuel economy and emissions of diesel engine hybrid plug-in electric vehicle has been investigated. A vehicle dynamic model considering Selective Catalytic Reduction( SCR) aftertreatment system is established on MATLAB/Simulink simulation platform. A multi-objective opti...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Transmission
2018-01-01
|
Series: | Jixie chuandong |
Subjects: | |
Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.02.002 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841547399534739456 |
---|---|
author | Wei Hanbing Zhu Ning |
author_facet | Wei Hanbing Zhu Ning |
author_sort | Wei Hanbing |
collection | DOAJ |
description | Comprehensive optimization of fuel economy and emissions of diesel engine hybrid plug-in electric vehicle has been investigated. A vehicle dynamic model considering Selective Catalytic Reduction( SCR) aftertreatment system is established on MATLAB/Simulink simulation platform. A multi-objective optimization function with fuel consumption and SCR outlet’s NOxemission is developed by adopting two states dynamic programming algorithm to solve global optimization problem. Specifically,the battery SOC and SCR temperature is designated as two states respectively which reflect the powertrain system and aftertreatment system dynamics. Based on the optimized results,a rule-based control strategy which is applicable for real-time control is deduced. Compared with CS-CD control strategy,the simulation result shows the fuel economy and NO<sub>x</sub> emission both is decreased by 1. 9% and 9. 3%. |
format | Article |
id | doaj-art-3b3a5d964ce346d4835c1a3182ea26cc |
institution | Kabale University |
issn | 1004-2539 |
language | zho |
publishDate | 2018-01-01 |
publisher | Editorial Office of Journal of Mechanical Transmission |
record_format | Article |
series | Jixie chuandong |
spelling | doaj-art-3b3a5d964ce346d4835c1a3182ea26cc2025-01-10T14:43:17ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392018-01-014261329934465Study on the Rule-based Control Strategy for PHEV According to Two-state Dynamic Programming AlgorithmWei HanbingZhu NingComprehensive optimization of fuel economy and emissions of diesel engine hybrid plug-in electric vehicle has been investigated. A vehicle dynamic model considering Selective Catalytic Reduction( SCR) aftertreatment system is established on MATLAB/Simulink simulation platform. A multi-objective optimization function with fuel consumption and SCR outlet’s NOxemission is developed by adopting two states dynamic programming algorithm to solve global optimization problem. Specifically,the battery SOC and SCR temperature is designated as two states respectively which reflect the powertrain system and aftertreatment system dynamics. Based on the optimized results,a rule-based control strategy which is applicable for real-time control is deduced. Compared with CS-CD control strategy,the simulation result shows the fuel economy and NO<sub>x</sub> emission both is decreased by 1. 9% and 9. 3%.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.02.002Diesel engine hybrid plug-in electric vehicleExhaust aftertreatmentSCRDynamic programming |
spellingShingle | Wei Hanbing Zhu Ning Study on the Rule-based Control Strategy for PHEV According to Two-state Dynamic Programming Algorithm Jixie chuandong Diesel engine hybrid plug-in electric vehicle Exhaust aftertreatment SCR Dynamic programming |
title | Study on the Rule-based Control Strategy for PHEV According to Two-state Dynamic Programming Algorithm |
title_full | Study on the Rule-based Control Strategy for PHEV According to Two-state Dynamic Programming Algorithm |
title_fullStr | Study on the Rule-based Control Strategy for PHEV According to Two-state Dynamic Programming Algorithm |
title_full_unstemmed | Study on the Rule-based Control Strategy for PHEV According to Two-state Dynamic Programming Algorithm |
title_short | Study on the Rule-based Control Strategy for PHEV According to Two-state Dynamic Programming Algorithm |
title_sort | study on the rule based control strategy for phev according to two state dynamic programming algorithm |
topic | Diesel engine hybrid plug-in electric vehicle Exhaust aftertreatment SCR Dynamic programming |
url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.02.002 |
work_keys_str_mv | AT weihanbing studyontherulebasedcontrolstrategyforphevaccordingtotwostatedynamicprogrammingalgorithm AT zhuning studyontherulebasedcontrolstrategyforphevaccordingtotwostatedynamicprogrammingalgorithm |