Yingzhang Wang, Li Zhang, Yang Chen, Chaokai Li, Baocheng Du, Jinlin Han
{"title":"Energy management strategies for hybrid diesel vehicles by dynamic planning embedded in real-world driving emission model","authors":"Yingzhang Wang, Li Zhang, Yang Chen, Chaokai Li, Baocheng Du, Jinlin Han","doi":"10.1016/j.csite.2024.105643","DOIUrl":null,"url":null,"abstract":"The optimization of energy management strategy for hybrid vehicles is often based on engine steady performance data and the standard driving cycle conditions in the laboratory. However, these methods cannot fully capture the vehicle’s dynamic characteristics under real-world driving conditions. This study uses a BP-Adaboost algorithm combined with a transfer learning strategy to construct a learning model of real-world driving emissions based on several real-world driving emission tests of a hybrid diesel light truck. The real-world driving emission model is then embedded into the dynamic planning algorithm using a bi-variate interpolation algorithm on the state-space plane. Accordingly, the optimal engine and motor torque control under real-world driving conditions is determined. It is found that the energy management strategies balancing the CO<ce:inf loc=\"post\">2</ce:inf> and NO<ce:inf loc=\"post\">x</ce:inf> emissions for the hybrid diesel light truck can obtain a good NO<ce:inf loc=\"post\">x</ce:inf> emission benefit while slightly sacrificing the CO<ce:inf loc=\"post\">2</ce:inf> emission benefit, and the trade-off consideration between energy consumption, pollutant emissions, and state-of-charge maintenance leads to a better overall social and economic benefit.","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"19 1","pages":""},"PeriodicalIF":6.4000,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Case Studies in Thermal Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.csite.2024.105643","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"THERMODYNAMICS","Score":null,"Total":0}
引用次数: 0
Abstract
The optimization of energy management strategy for hybrid vehicles is often based on engine steady performance data and the standard driving cycle conditions in the laboratory. However, these methods cannot fully capture the vehicle’s dynamic characteristics under real-world driving conditions. This study uses a BP-Adaboost algorithm combined with a transfer learning strategy to construct a learning model of real-world driving emissions based on several real-world driving emission tests of a hybrid diesel light truck. The real-world driving emission model is then embedded into the dynamic planning algorithm using a bi-variate interpolation algorithm on the state-space plane. Accordingly, the optimal engine and motor torque control under real-world driving conditions is determined. It is found that the energy management strategies balancing the CO2 and NOx emissions for the hybrid diesel light truck can obtain a good NOx emission benefit while slightly sacrificing the CO2 emission benefit, and the trade-off consideration between energy consumption, pollutant emissions, and state-of-charge maintenance leads to a better overall social and economic benefit.
期刊介绍:
Case Studies in Thermal Engineering provides a forum for the rapid publication of short, structured Case Studies in Thermal Engineering and related Short Communications. It provides an essential compendium of case studies for researchers and practitioners in the field of thermal engineering and others who are interested in aspects of thermal engineering cases that could affect other engineering processes. The journal not only publishes new and novel case studies, but also provides a forum for the publication of high quality descriptions of classic thermal engineering problems. The scope of the journal includes case studies of thermal engineering problems in components, devices and systems using existing experimental and numerical techniques in the areas of mechanical, aerospace, chemical, medical, thermal management for electronics, heat exchangers, regeneration, solar thermal energy, thermal storage, building energy conservation, and power generation. Case studies of thermal problems in other areas will also be considered.