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...

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Main Authors: Wei Hanbing, Zhu Ning
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
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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