Energy Management Strategies for Extended-Range Electric Vehicles with Real Driving Emission Constraints

Fuel economy has long been the core control objective in the energy management strategies of extended-range electric vehicles (EREVs), but little research has considered real driving emissions. In this paper, the real driving emissions of an EREV are investigated, and the abnormal pollutant emission...

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Main Authors: Hualong Xu, Yang Chen, Li Zhang, Guoliang Chen, Jinlin Han, Qing Zhang, Chaokai Li
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/1/142
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author Hualong Xu
Yang Chen
Li Zhang
Guoliang Chen
Jinlin Han
Qing Zhang
Chaokai Li
author_facet Hualong Xu
Yang Chen
Li Zhang
Guoliang Chen
Jinlin Han
Qing Zhang
Chaokai Li
author_sort Hualong Xu
collection DOAJ
description Fuel economy has long been the core control objective in the energy management strategies of extended-range electric vehicles (EREVs), but little research has considered real driving emissions. In this paper, the real driving emissions of an EREV are investigated, and the abnormal pollutant emissions caused by engine start–stop events are clarified. Accordingly, an interpolated-startup-corrected method is proposed to construct real driving emission models. Next, an optimization problem is constituted with real driving emissions as the constraints and fuel consumption as the objective. The optimization problem is solved using a dynamic programming (DP) algorithm embodying the interpolated-startup-corrected emission models, and the start–stop reduction strategies and condition migration strategies are derived. Compared to the strategy without the emission constraints, the CO and NO<sub>x</sub> emissions under the no-start–stop strategy are cut down by about 70%; the PN emissions are even orders of magnitude lower. Meanwhile, the condition migration strategy can compromise the fuel economy and pollutant emissions by adjusting the engine operating points, thus possibly limiting pollutant emissions beyond the start–stop reduction strategy.
format Article
id doaj-art-201d9fe3a2064ddfa9225c5fd0dd071b
institution Kabale University
issn 2076-3417
language English
publishDate 2024-12-01
publisher MDPI AG
record_format Article
series Applied Sciences
spelling doaj-art-201d9fe3a2064ddfa9225c5fd0dd071b2025-01-10T13:14:35ZengMDPI AGApplied Sciences2076-34172024-12-0115114210.3390/app15010142Energy Management Strategies for Extended-Range Electric Vehicles with Real Driving Emission ConstraintsHualong Xu0Yang Chen1Li Zhang2Guoliang Chen3Jinlin Han4Qing Zhang5Chaokai Li6China Automotive Engineering Research Institute Co., Ltd., Chongqing 401122, ChinaCollege of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, ChinaCollege of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, ChinaCollege of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, ChinaDepartment of Mechanical Engineering, Eindhoven University of Technology, NL-5600 Eindhoven, The NetherlandsChongqing Changan Automobile Co., Ltd., Chongqing 400023, ChinaCollege of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, ChinaFuel economy has long been the core control objective in the energy management strategies of extended-range electric vehicles (EREVs), but little research has considered real driving emissions. In this paper, the real driving emissions of an EREV are investigated, and the abnormal pollutant emissions caused by engine start–stop events are clarified. Accordingly, an interpolated-startup-corrected method is proposed to construct real driving emission models. Next, an optimization problem is constituted with real driving emissions as the constraints and fuel consumption as the objective. The optimization problem is solved using a dynamic programming (DP) algorithm embodying the interpolated-startup-corrected emission models, and the start–stop reduction strategies and condition migration strategies are derived. Compared to the strategy without the emission constraints, the CO and NO<sub>x</sub> emissions under the no-start–stop strategy are cut down by about 70%; the PN emissions are even orders of magnitude lower. Meanwhile, the condition migration strategy can compromise the fuel economy and pollutant emissions by adjusting the engine operating points, thus possibly limiting pollutant emissions beyond the start–stop reduction strategy.https://www.mdpi.com/2076-3417/15/1/142EREVenergy managementreal driving emissionsdynamic planningemission modelingengine start–stop
spellingShingle Hualong Xu
Yang Chen
Li Zhang
Guoliang Chen
Jinlin Han
Qing Zhang
Chaokai Li
Energy Management Strategies for Extended-Range Electric Vehicles with Real Driving Emission Constraints
Applied Sciences
EREV
energy management
real driving emissions
dynamic planning
emission modeling
engine start–stop
title Energy Management Strategies for Extended-Range Electric Vehicles with Real Driving Emission Constraints
title_full Energy Management Strategies for Extended-Range Electric Vehicles with Real Driving Emission Constraints
title_fullStr Energy Management Strategies for Extended-Range Electric Vehicles with Real Driving Emission Constraints
title_full_unstemmed Energy Management Strategies for Extended-Range Electric Vehicles with Real Driving Emission Constraints
title_short Energy Management Strategies for Extended-Range Electric Vehicles with Real Driving Emission Constraints
title_sort energy management strategies for extended range electric vehicles with real driving emission constraints
topic EREV
energy management
real driving emissions
dynamic planning
emission modeling
engine start–stop
url https://www.mdpi.com/2076-3417/15/1/142
work_keys_str_mv AT hualongxu energymanagementstrategiesforextendedrangeelectricvehicleswithrealdrivingemissionconstraints
AT yangchen energymanagementstrategiesforextendedrangeelectricvehicleswithrealdrivingemissionconstraints
AT lizhang energymanagementstrategiesforextendedrangeelectricvehicleswithrealdrivingemissionconstraints
AT guoliangchen energymanagementstrategiesforextendedrangeelectricvehicleswithrealdrivingemissionconstraints
AT jinlinhan energymanagementstrategiesforextendedrangeelectricvehicleswithrealdrivingemissionconstraints
AT qingzhang energymanagementstrategiesforextendedrangeelectricvehicleswithrealdrivingemissionconstraints
AT chaokaili energymanagementstrategiesforextendedrangeelectricvehicleswithrealdrivingemissionconstraints