Electric Multi-Objective Optimal Control Strategy for Plug-in Diesel Engine Hybrid Electric Vehicle During Engine Cold Start

The trade-off between the high NO<italic><sub>x</sub></italic> catalytical efficiency and low NH<sub>3</sub> leakage are difficult to tackle, especially during engine cold start of plug-in diesel engine hybrid electric vehicle. The NH<sub>3</sub> desor...

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Main Authors: Wei Hanbing, He Shaochuan, Chen Siyi, Meng Changchun, Zou Bo
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2020-02-01
Series:Jixie chuandong
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Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.02.005
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author Wei Hanbing
He Shaochuan
Chen Siyi
Meng Changchun
Zou Bo
author_facet Wei Hanbing
He Shaochuan
Chen Siyi
Meng Changchun
Zou Bo
author_sort Wei Hanbing
collection DOAJ
description The trade-off between the high NO<italic><sub>x</sub></italic> catalytical efficiency and low NH<sub>3</sub> leakage are difficult to tackle, especially during engine cold start of plug-in diesel engine hybrid electric vehicle. The NH<sub>3</sub> desorption rate model, SCR temperature model and dynamic response model are established based on SCR reaction mechanism. According to Pontryagin's minimum principle, the shortest light-off time control strategy of SCR and the multi-objective integrated optimization control strategy of fuel consumption and emissions where SOC and SCR temperature designated as state variables are proposed. The simulation results from shortest light-off time control strategy show that ammonia storage capacity is apt to exceed the limit of ammonia storage capacity during the process of rapid heating. The resultant peak concentration of ammonia leakage is 4.362×10<sup>-5</sup>. By comparison, the multi-objective integrated optimization control strategy for fuel consumption and emissions can not only achieve rapid light-of but also reduce the peak concentration of ammonia leakage to 2.122 6×10<sup>-5</sup>. Meanwhile fuel economy is improved by 7.13%. Finally, the hardware-in-loop experiment based on dSPACE real-time simulation platform is implemented to validate the real-time performance and effectiveness of the proposed control strategy.
format Article
id doaj-art-d8c52e6877d249bbb7af071d9551212c
institution Kabale University
issn 1004-2539
language zho
publishDate 2020-02-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-d8c52e6877d249bbb7af071d9551212c2025-01-10T14:46:25ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392020-02-0144283631440809Electric Multi-Objective Optimal Control Strategy for Plug-in Diesel Engine Hybrid Electric Vehicle During Engine Cold StartWei HanbingHe ShaochuanChen SiyiMeng ChangchunZou BoThe trade-off between the high NO<italic><sub>x</sub></italic> catalytical efficiency and low NH<sub>3</sub> leakage are difficult to tackle, especially during engine cold start of plug-in diesel engine hybrid electric vehicle. The NH<sub>3</sub> desorption rate model, SCR temperature model and dynamic response model are established based on SCR reaction mechanism. According to Pontryagin's minimum principle, the shortest light-off time control strategy of SCR and the multi-objective integrated optimization control strategy of fuel consumption and emissions where SOC and SCR temperature designated as state variables are proposed. The simulation results from shortest light-off time control strategy show that ammonia storage capacity is apt to exceed the limit of ammonia storage capacity during the process of rapid heating. The resultant peak concentration of ammonia leakage is 4.362×10<sup>-5</sup>. By comparison, the multi-objective integrated optimization control strategy for fuel consumption and emissions can not only achieve rapid light-of but also reduce the peak concentration of ammonia leakage to 2.122 6×10<sup>-5</sup>. Meanwhile fuel economy is improved by 7.13%. Finally, the hardware-in-loop experiment based on dSPACE real-time simulation platform is implemented to validate the real-time performance and effectiveness of the proposed control strategy.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.02.005Minimum principle
spellingShingle Wei Hanbing
He Shaochuan
Chen Siyi
Meng Changchun
Zou Bo
Electric Multi-Objective Optimal Control Strategy for Plug-in Diesel Engine Hybrid Electric Vehicle During Engine Cold Start
Jixie chuandong
Minimum principle
title Electric Multi-Objective Optimal Control Strategy for Plug-in Diesel Engine Hybrid Electric Vehicle During Engine Cold Start
title_full Electric Multi-Objective Optimal Control Strategy for Plug-in Diesel Engine Hybrid Electric Vehicle During Engine Cold Start
title_fullStr Electric Multi-Objective Optimal Control Strategy for Plug-in Diesel Engine Hybrid Electric Vehicle During Engine Cold Start
title_full_unstemmed Electric Multi-Objective Optimal Control Strategy for Plug-in Diesel Engine Hybrid Electric Vehicle During Engine Cold Start
title_short Electric Multi-Objective Optimal Control Strategy for Plug-in Diesel Engine Hybrid Electric Vehicle During Engine Cold Start
title_sort electric multi objective optimal control strategy for plug in diesel engine hybrid electric vehicle during engine cold start
topic Minimum principle
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.02.005
work_keys_str_mv AT weihanbing electricmultiobjectiveoptimalcontrolstrategyforplugindieselenginehybridelectricvehicleduringenginecoldstart
AT heshaochuan electricmultiobjectiveoptimalcontrolstrategyforplugindieselenginehybridelectricvehicleduringenginecoldstart
AT chensiyi electricmultiobjectiveoptimalcontrolstrategyforplugindieselenginehybridelectricvehicleduringenginecoldstart
AT mengchangchun electricmultiobjectiveoptimalcontrolstrategyforplugindieselenginehybridelectricvehicleduringenginecoldstart
AT zoubo electricmultiobjectiveoptimalcontrolstrategyforplugindieselenginehybridelectricvehicleduringenginecoldstart