DEStech Transactions on Environment, Energy and Earth Sciences最新文献_第3页

A Cooperative Model for Microgrids Based on Interbank Lending Method 基于同业拆借方法的微电网合作模型

DEStech Transactions on Environment, Energy and Earth Sciences Pub Date : 2019-10-31 DOI: 10.12783/dteees/iceee2019/31792

Qingxi Huang, Luyao Liu, Qie Sun, R. Wennersten

引用次数: 0

Has China's Resource-based Regions Improved in the GVCs Specialization?—Take Shanxi as an Example 中国资源型地区在全球价值链分工上有提升吗?——以山西为例

DEStech Transactions on Environment, Energy and Earth Sciences Pub Date : 2019-10-31 DOI: 10.12783/dteees/iceee2019/31782

Xiaojia Fan, Sanmang Wu, Shantong Li

引用次数: 0

Comparative Study of Four Filter-based Algorithms for State-of-charge Estimation of Lithium-ion Batteries 基于滤波的锂离子电池电量状态估计算法的比较研究

DEStech Transactions on Environment, Energy and Earth Sciences Pub Date : 2019-10-31 DOI: 10.12783/dteees/iceee2019/31820

Yong Tian, Zhibing Zeng, Lijuan Xiang, Xiaoyu Li, Jindong Tian

{"title":"Comparative Study of Four Filter-based Algorithms for State-of-charge Estimation of Lithium-ion Batteries","authors":"Yong Tian, Zhibing Zeng, Lijuan Xiang, Xiaoyu Li, Jindong Tian","doi":"10.12783/dteees/iceee2019/31820","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31820","url":null,"abstract":"Accurate estimation of state of charge (SOC) is greatly crucial for safely and reliably charging and discharging the lithium-ion batteries, especially for those used in electric vehicles (EVs). Currently, a lot of algorithms have been proposed to estimate the battery SOC. In this paper, we compared four filter-based algorithms, including the standard particle filter (PF), the unscented Kalman filter, the unscented Kalman-particle filter (UPF), and the extended Kalman-particle filter (EPF), in terms of the estimate accuracy and convergence rate. The federal urban driving schedule (FUDS) and the urban dynamometer driving schedule (UDDS) were applied to evaluate the performance of these estimation algorithms. Comparison results showed that compared with the UKF, the PF can improve the estimate accuracy, however, it takes much more time to correct the initial SOC error. By introducing the EKF and UKF into the particle filter, the convergence rate can be greatly improved without the decrease in estimate accuracy, and convergence rate is very close to that of the UKF.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76406353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Decentralized Energy Management Strategy of Fuel Cell-Ultracapacitor Hybrid Vehicle 燃料电池-超级电容器混合动力汽车分散能量管理策略

DEStech Transactions on Environment, Energy and Earth Sciences Pub Date : 2019-10-31 DOI: 10.12783/dteees/iceee2019/31784

Song Qingchao, Chen Jiawei, M. Tan, He Jian, Cai Kuncheng

引用次数: 0

Predictive Energy Management for Hybrid Electric Vehicle Considering Driver’s Intention 考虑驾驶员意愿的混合动力汽车能量预测管理

DEStech Transactions on Environment, Energy and Earth Sciences Pub Date : 2019-10-31 DOI: 10.12783/dteees/iceee2019/31801

Menglin Li, Hongwen He, Jiankun Peng, Yong Chen, Mei Yan

{"title":"Predictive Energy Management for Hybrid Electric Vehicle Considering Driver’s Intention","authors":"Menglin Li, Hongwen He, Jiankun Peng, Yong Chen, Mei Yan","doi":"10.12783/dteees/iceee2019/31801","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31801","url":null,"abstract":"The driver's intention determines the vehicle's Macrodriving state. On the premise of ensuring that the driving state of the vehicle conforms to the driver's intention, it is of practical significance to study the energy-saving of the vehicle. Through the correlation analysis of acceleration / brake pedal signal with vehicle speed and acceleration under real working conditions, the strong correlation between driver input and vehicle speed appears in the range of 4-6 seconds. The mapping relationship between driver’s intention and driver's expected speed is constructed by extreme learning machine. Based on this, the model predictive control for hybrid electric vehicle is carried out. It is compared with the global optimal control strategy solved by dynamic programming and the instantaneous optimal control strategy under the same discrete precision. The results show that compared with the instantaneous optimal control strategy, model predictive control based on driver’s intention can save 9.92% of the energy consumption while meeting the driver’s intention (RMSE 0.9995m/s).","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85240394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Techno-economics of CO2-Argon-Steam Oxy-Fuel (CARSOXY) Gas Turbines 二氧化碳-氩-蒸汽-氧燃料(CARSOXY)燃气轮机的技术经济学

DEStech Transactions on Environment, Energy and Earth Sciences Pub Date : 2019-10-31 DOI: 10.12783/dteees/iceee2019/31761

O. Alrebei, Ali Al-Doboon, P. Bowen, A. Valera-Medina

引用次数: 3

Changes and Driving Forces of Indirect CO2 Emissions from Household Consumption in China—Based on an International Comparative Perspective 中国居民消费间接二氧化碳排放变化及其驱动力——基于国际比较视角

DEStech Transactions on Environment, Energy and Earth Sciences Pub Date : 2019-10-31 DOI: 10.12783/dteees/iceee2019/31783

Qiuping Li, Sanmang Wu

{"title":"Changes and Driving Forces of Indirect CO2 Emissions from Household Consumption in China—Based on an International Comparative Perspective","authors":"Qiuping Li, Sanmang Wu","doi":"10.12783/dteees/iceee2019/31783","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31783","url":null,"abstract":"Controlling carbon dioxide (CO ) emissions has been an important measure to mitigate global climate change, and the study of household consumption and related environmental impacts has become a hot topic in the field of sustainable development research in recent years. Taking 2000–2014 as the research period, this paper studies the indirect CO emissions of household consumption in China by using the MRIO model and uses SDA to analyze the driving factors of indirect CO emissions of household consumption in China. The results show that: (1) During the study period, the indirect CO emissions caused by household consumption in China showed an increasing trend, with the total household amount increasing by 1.9 times, and the per capita CO emissions increasing by 1.76 times. (2) The CO emissions from household consumption in China are concentrated mainly in Commercial and Public Services (CPS), Electricity, Gas, Steam and Air Conditioning Supply (EGSA), and Manufacture of Food and Tobacco (MFT), which accounted for 26.63%, 17.69% and 13.52%, respectively, of the total emissions in 2014. (3) China has been in the position of net outflow of indirect CO emissions from household consumption. (4) The growth of per capita household consumption is the main factor promoting the growth of indirect CO emissions from household consumption in China, and the reduction of carbon intensity in various countries is the main factor in restraining the indirect CO emissions caused by household consumption in China. This study shows that indirect CO emissions from household consumption in China are likely to rise, and the government should not only improve the level of household consumption continuously but also actively adjust the industrial structure and optimize the consumption structure to alleviate CO2 emissions effectively.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88675188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Cloud-based Aging Considered Vehicle-mounted Lithium-ion Battery Management Method: A Big Data Perspective 基于大数据视角的车载锂离子电池云老化管理方法

DEStech Transactions on Environment, Energy and Earth Sciences Pub Date : 2019-10-31 DOI: 10.12783/dteees/iceee2019/31803

Shuangqi Li, Hongwen He, Jianwei Li

引用次数: 2

Multi-Objective Optimization Energy Management Strategy for Fuel Cell Hybrid Vehicles Based on Rule Learning 基于规则学习的燃料电池混合动力汽车多目标优化能量管理策略

DEStech Transactions on Environment, Energy and Earth Sciences Pub Date : 2019-10-31 DOI: 10.12783/dteees/iceee2019/31798

Yonggang Liu, Junjun Liu, D. Qin, Zheng Chen

引用次数: 0

Feasibility Analysis of Drying Sludge Using Flue Gas Waste Heat 利用烟气余热干燥污泥的可行性分析

DEStech Transactions on Environment, Energy and Earth Sciences Pub Date : 2019-10-31 DOI: 10.12783/dteees/iceee2019/31826

Bin Wang, Jinshan Wang, Hailong Li, E. Thorin, Sebastian Schwede

引用次数: 2