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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： Jiao, Mingyue Pan, Fengwen Huang, Xueqi Yuan, Xinmei Jilin University State Key Lab. of Automotive Simulation and Control Changchun China Weichai Power Co. Ltd Weifang China Saic Motor Passenger Vehicle Co. Ltd Shanghai China

ISBN: (纸本)9781728171494

Batteries, with support of governments and industry, have flourished in recent years, which appears to be one of the most promising power sources in the global transportation field. In addition to being widely used in passenger cars, batteries are also applied in off-road vehicles. Forklift is one of off-road vehicles and the proportion of electric forklift is increasing on the whole. Since the commonly used battery on forklifts is lead-acid battery, which brings great burden to the environment, it is necessary to seek for potential substitute for lead-acid battery. Benefiting from the maintenance-free nature and long lifetimes, forklift powered by lithium-ion battery is proposed in this paper. Total cost of ownership (TCO) is used to compare the economic competitiveness of forklifts powered by two different kinds of batteries. The data and conclusion in this paper may provide some references for consumers, vehicle manufactures and policymakers on electric forklifts. © 2021 IEEE.

关键词： Lithium-ion batteries

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Application potential of second-life lithium-ion battery on forklift 4

Application potential of second-life lithium-ion battery on ...

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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： Jiao, Mingyue Pan, Fengwen Huang, Xueqi Yuan, Xinmei Jilin University State Key Lab. of Automotive Simulation and Control Changchun China Weichai Power Co. Ltd Weifang China Vehicle Co. Ltd Saic Motor Passenger Shanghai China

ISBN: (纸本)9781728171494

In recent years, electrification has become a major trend in the transportation domain, where the electrification of forklifts is even significant. In 2016, the annual growth of electric forklift production reached nearly 40%. Current electric forklifts are mainly lead-acid battery-powered;however, lead-acid battery is not environmentally friendly and have a short life span. With the advantage of improved environmental impact and less maintenance requirement compared with the lead-acid battery, and much less cost compared with the new lithium-ion battery, the second-life lithium-ion battery becomes a competitive alternative power supply for electric forklifts. In this paper, a comparison of the economic competitiveness between the lead-acid battery- powered forklift and second-life lithium-ion battery-powered forklift is carried out. With the detailed calculation of the total cost of ownership of both technologies with sensitivity analysis, the great potential of second-life lithium-ion battery-powered forklift is demonstrated. © 2021 IEEE.

关键词： Lithium-ion batteries

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Wind Power Generation Capacity Evaluation Based on Correlation Analysis of Adjacent Wind Farms

Wind Power Generation Capacity Evaluation Based on Correlati...

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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Sun, Shuxin Qiao, Ying Lu, Zongxiang Ma, Yanhong Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Beijing100084 China State Grid Gansu Electric Power Company Wind Power Technology Center Lanzhou730050 China

ISBN: (纸本)9781665414395

Accurate assessment of the power generation capacity of the wind farm is the key basis for incorporating it into power system scheduling and other optimizing operation activities. Traditional evaluation methods, such as benchmarking wind turbine method, have higher requirements for input data, but many wind farms in operation for many years are difficult to meet such data conditions. A new power generation capacity evaluation method based on correlation analysis of adjacent wind farms is proposed in this paper. Meteorological data and power of adjacent wind farms are used as replaced input data based on correlation analysis between the target farm with its adjacent farms. First, anticipate wind speed data and then construct the wind power curve with three different neural networks to evaluate power generation capacity. Afterwards, adjacent wind farms are used as data sources to fit the power data of the target wind farm with the application of influence radius method, inverse square distance method and bilinear interpolation method. Finally, combined with data in the actual case, investigate the advantages and disadvantages of different methods in the evaluation of power generation capacity. © 2021 IEEE.

关键词： Time delay

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One representative water supply system in China with nitrosamine concern: Challenges and treatment strategies

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Journal of Environmental Sciences 2020年第2期32卷 12-20页

作者： Yu Qiu Er Bei Yufang Wang Jun Wang Xiaojian Zhang Chao Chen State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Beijing Key Lab for Source Control Technology of Water Pollution College of Environmental Science and EngineeringBeijing Forestry UniversityBeijing 100083China Research Institute for Environmental Innovation(Suzhou) TsinghuaSuzhou 215163China

Four sampling campaigns were conducted in two years to understand the fluctuation of N-Nitrosamines(NAs) and their precursors in one drinking water treatment plant(DWTP) in East China in different *** water supply system has been facing several nitrosamine challenges related with source water, including the switch of water source,high concentration of ammonium, formed NAs and NA formation potential(FP) in source ***, the use of ozonation in the DWTP and chloramination in networks will increase the NDMA concentration in tap *** address these challenges, the biopretreatment was applied in this DWTP to decrease the concentration of ammonium and *** following biological activated carbon(BAC) will neutralize the nitrosamine increase brought by *** use of free chlorine in disinfection process will also decrease the NDMA formation compared with *** results will benefit other cities in China and other countries with similar impacted water sources.

关键词： Drinking water treatment plant Formation potential Networks N-Nitrosamines Precursor

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Trust-based Shared control of Human-Vehicle System Using Model Free Adaptive Dynamic Programming

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年

作者： Hu, Chuan Shi, Yingkui Ge, Sicheng Hu, Hongyu Zhao, Jing Zhang, Xi Intelligent Vehicle Institute School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China Automotive Engineering Lab Department of Electromechanical Engineering University of Macau China

Trust is a critical issue in the field of human-vehicle interaction. In order to improve the efficiency of co-driving system while ensuring the safety and comfort of autonomous vehicles (AVs), a dynamic model of quantitative trust level is proposed and applied to propose a trust-based trajectory tracking control of human-vehicle cooperating system. In this paper, three key contributions have been made: 1) the evolution mechanism of trust in shared steering control is studied and a quantitative trust model is established for the first time by constructing the deviation between actual performance and driver’s driving expectations in real-time;2) an improved model-free adaptive dynamic programming (MF-ADP) method is applied to describe the steering operations of AVs which can adjust its control policy on the basis of evaluated trust value through an adaptive weighing matrix in the cost function;3) a novel trust-based authority allocation policy is proposed in this work to dynamically assign control proportion between the driver and the autonomous driving system based on real-time trust level, aiming to enhance human-vehicle collaboration. High-fidelity Carsim-Simulink co-simulations are conducted under various velocity conditions to validate the rationality and effectiveness of proposed trust model and shared steering control policy. © 2024 IEEE.

关键词： Steering

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A Power Conversion System For Large-Scale Reversible SOFC Energy Storage System

A Power Conversion System For Large-Scale Reversible SOFC En...

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IEEE Electronic Power Grid (eGrid)

作者： Hongsheng Chong Kai Sun Huan Chen State Key Lab of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

ISBN: (纸本)9781665449809

As the penetration rate of renewable energy in the utility grid increases, large-scale energy storage system (ESS) will become an essential infrastructure in the grid. Reversible solid oxide fuel cell (RSOFC) technology is a promising solution for large-scale ESS. However, the wide voltage range and low power of single RSOFC stack electrical characteristics have complicated the interface converter design. It is necessary to connect multiple stacks through a power conversion system to integrate the power because a single stack of RSOFC is small. This paper proposes a power conversion system for large-scale RSOFC ESS. The system consists of a cascaded H-bridge (CHB) converter and multiple multiport converters, and they are connected to a common dc bus. Because of the electrical characteristics of RSOFC, a two-stage CLLC based multiport converter topology is employed to achieve high voltage gain and operate at a wide voltage range. The control strategy of the proposed power conversion system is presented. simulation tests verify the feasibility and effectiveness of the proposed conversion system

关键词： Renewable energy sources Conferences Fuel cells High-voltage techniques Electric variables Solids Topology

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A Novel Triple Capacitor Multi-Level Submodule Mmc Topology with Fault Current Clearing Capability

SSRN

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SSRN 2023年

作者： Sun, Yinfeng Jia, Guobin Hao, Jiaqi Lu, Mingzhi Li, Guoqing Wang, Zhenhao Wu, Xueguang Modern Power System Simulation Control and Green Energy New Technol. Key Lab. The Ministry of Education Northeast Electric Power Univ. Jilin132012 China State Grid Smart Grid Research Institute Beijing China

In the high voltage direct current system based on modular multilevel converter (MMC-HVDC), the half-bridge submodule (HBSM) has become the preferred submodule for significant projects due to its convenient control and low cost. However, the DC shortcircuit protection performance of MMC-HVDC will seriously restrict its development in areas such as overhead lines, high voltage, and large capacity. This article proposes a triple capacitor multi-level submodule (TCMSM) based on a modular multilevel converter with DC fault-blocking capability. It utilizes at least one-third of the module capacitance in the bridge arm to reverse, suppress the DC fault current and turn off the diode. At the same time, the unidirectional conductivity of the diode can also prevent arc reignition at the fault point. The article also conducted in-depth research on the DC short-circuit fault elimination mechanism of this topology, and compared its performance with other topologies. Through analysis, it can be concluded that TCMSM reduces the initial investment and operating costs by reducing the number of devices inside the module while possessing the fault current blocking ability. Finally, MATlab/Simulink was used to simulate and verify the proposed new topology, and its performance was analyzed. © 2023, The Authors. All rights reserved.

关键词： Topology

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Spatial-temporal Traffic Congestion Prediction Based on Attention Mechanism 5

Spatial-temporal Traffic Congestion Prediction Based on Atte...

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5th CAA International Conference on Vehicular control and Intelligence, CVCI 2021

作者： Pu, Shilin Chu, Liang Zhang, Yuanjian Hou, Zhuoran Gao, Jianbing Guo, Chong Jilin University State Key Lab of Automotive Dynamic Simulation and Control Jilin China Queen's University 1 W-Tech Center Belfast United Kingdom University of Leeds Institute of Transportation System Leeds United Kingdom

ISBN: (纸本)9781665408462

Accurate traffic flow prediction is of great significance for intelligent transportation system in intelligent city. For the problem of traffic congestion, accurate prediction of traffic congestion is conducive to rational urban planning and efficient energy utilization. There are some problems in data-driven traffic flow congestion prediction, such as inaccurate prediction caused by complex spatiotemporal correlation characteristics. Facing this problem, this paper proposes a spatiotemporal attention combination network (STACN) based on attention mechanism for traffic congestion prediction. Firstly, this paper uses the conventional attention mechanism to capture the multi-dimensional time series correlation of the target road. Secondly, this paper uses the graph attention mechanism to capture the spatial dependence of all neighborhoods of the target road in the graph. In this paper, the prediction accuracy and consistency of congestion level are evaluated by using the actual traffic data set, and the experimental results verify the effectiveness of the model. © 2021 IEEE.

关键词： Traffic congestion

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Polyethylene microplastics hamper aged biochar’s potential in mitigating greenhouse gas emissions

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Carbon Research 2025年第1期4卷 1-14页

作者： Chen, Yalan Wang, Zhibo Zhang, Anqi Li, Yang Sun, Ke Jiang, Chenrun Gunina, Anna Aloufi, Abeer S. Liang, Xinru Han, Zichen Xiao, Yue Zhang, Yunqian Du, Zhangliu Zhu, Shishu Kuzyakov, Yakov State Key Laboratory of Water Environment Simulation School of Environment Beijing Normal University Beijing100875 China College of Life Sciences Beijing Normal University Beijing100875 China Department of Urban Engineering Graduate School of Engineering The University of Tokyo Tokyo113-8656 Japan Agrarian and Technological Institute RUDN University Miklukho-Maklaya st. 6 Moscow117198 Russia Department of Biology College of Science Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia Beijing Key Laboratory of Biodiversity and Organic Farming College of Resources and Environmental Sciences China Agricultural University Beijing100193 China The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters Ministry of Education School of Environment and Energy South China University of Technology Guangzhou510006 China Department of Soil Science of Temperate Ecosystems Department of Agricultural Soil Science University of Goettingen Göttingen37077 Germany Moscow117198 Russia

While biochar effectively reduces greenhouse gas emissions, the coincident microplastics will alter these benefits. To assess the long-term efficacy of biochar application in reducing emissions amidst microplastic interference, we investigated the interactive effects of polyethylene microplastics (1%–5% wt) and decadal biochar addition (aged biochar) on C and N stability in a Fluvic Cambisol. Aged biochar and polyethylene individually reduced CO2 emissions by 49% and 18%, respectively, over 91-day incubation. This was due to decreased soil aggregation, dissolved organic matter (DOM) content, and increased DOM aromaticity, which reduced microbial biomass and chitinase activity associated with soil organic matter (SOM) decomposition. This ultimately led to increased accumulation of microbial necromass carbon (MNC) to soil stable carbon pool. Interestingly, the coexistence of polyethylene diminished the efficacy of biochar in mitigating CO2 emissions (+ 44 ~ 82%) and stabilizing MNC (-18 ~ 23%). This was because the interaction between polyethylene and biochar facilitated macroaggregate formation and DOM accumulation and decreased DOM aromaticity, which increased microbial biomass and chitinase activity for SOM decomposition. Similar to soil C dynamics, aged biochar largely reduced N2O emissions by 54%, due to decreased nirK but increased nifH genes. Polyethylene increased N2O emissions by 5% and 25% in biochar-free and aged biochar soil, respectively, likely through upregulation of nirS and nirK but downregulating nifH gene expression. Thus, polyethylene microplastics may undermine the benefits of biochar in mitigating climate change, highlighting the necessity to recognize microplastics as a global change factor and to incorporate their role in elemental cycling alongside their global transport. Graphic Abstract: (Figure presented.) © The Author(s) 2025.

关键词： Greenhouse gas emissions

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ANALYSIS OF THE MULTI-MODE OSCILLATIONS OF OFFSHORE WIND FARMS 18

ANALYSIS OF THE MULTI-MODE OSCILLATIONS OF OFFSHORE WIND FAR...

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18th International Conference on AC and DC Power Transmission, ACDC 2022

作者： Fan, Yupeng Dong, Wenkai Li, Peng Qin, Yi Jiang, Haojie Xie, Xiaorong Datang Guoxin Binhai Offshore Wind Power Generation Co. Ltd Jiangsu Province Yancheng224000 China State Key lab of Control and Simulation of Power Systems and Generation Equipment Dept. of Electric Engineering Tsinghua University Beijing100084 China China Datang Corporation Science and Technology General Research Institute Ltd Beijing100040 China

ISBN: (数字)9781839537615

ISBN: (纸本)9781839537615

Multi-mode oscillation (MMO) is more prone to happen in the offshore wind farm (OWF) than the onshore, which seriously impacts the safe operation of the system. In this paper, the mechanism for the MMO of the OWF is analytically studied. First, the impedance model (IM) of a grid-connected OWF is derived with the AC submarine cable modelled as a distributed parameter circuit (DPC). Second, since the DPC of N n sections can be approximately seen as composed of N identical capacitances in daisy-chain connection, based on the consistent control theory for homogeneous systems, the IM of the DPC is decoupled into N subsystems, each of which is composed of a x circuit. The IM of the DPC is the weighted sum of the IMs of the N subsystems. As each x circuit has one tip (jump between ±90°) in the amplitude(phase)-frequency characteristics (APFC), the IM of the cable will have N tips (jumps) in the APFC and is much more prone to intersect with the IM of the OWF. Thus, resonance is more likely to happen at multiple frequency points. Finally, effectiveness of the methods proposed and conclusions drawn is validated via study cases. © ACDC 2022. All rights reserved.

关键词： Offshore wind farms

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