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SSRN 2023年

作者： He, Liqiang Li, Gang Wu, Xiaomeng Zhang, Shaojun Tian, Miao Li, Zhenhua Huang, Cheng Hu, Qingyao Wu, Ye Hao, Jiming State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation Chinese Research Academy of Environmental Sciences Beijing100012 China School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing100084 China State Environmental Protection Key Laboratory of Cause and Prevention of Urban Air Pollution Complex Shanghai Academy of Environmental Sciences Shanghai200233 China

Real-world emissions from China IV and some China V heavy-duty diesel vehicles (HDDVs) equipped with selective catalytic reduction (SCR) probably fail to mitigate nitrogen oxide (NOX) emissions as expected. Meanwhile, these SCR-equipped HDDVs might emit excessive ammonia (NH3). To better understand the NOX and NH3 emissions from typical HDDVs in China, seventeen in-use HDDVs with various emission-control technologies were tested by using laboratory chassis dynamometers. The results indicated that individual NOX and NH3 emissions from HDDV fleets widely varied owing to differences in aftertreatment performance. China V and VI HDDVs with effectively functioning SCRs could substantially control their NOX emissions to be below the corresponding emission limits but with a potential risk of high NH3 emissions caused by diesel exhaust fluid overdosing. Furthermore, higher vehicle speed and load mass resulted in lower NOX emissions and possibly higher NH3 emissions from HDDVs with effectively functioning SCR systems, while higher NOX emissions from tampered- and non-SCR HDDVs. NOX emissions from China VI HDDVs were more sensitive to cold starts compared to China V and earlier vehicles, but there was no significant discrepancy in NH3 emissions between cold- and hot-start tests © 2023, The Authors. All rights reserved.

关键词： Nitrogen oxides

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Research on Photovoltaic MPPT Based on Improved Butterfly Algorithm

Research on Photovoltaic MPPT Based on Improved Butterfly Al...

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IEEE International Conference on Power and Power and Renewable Energy (ICPRE)

作者： Zun Ma Xian Meng Chao Xing Binjiang Hu Yihua Zhu Liang Tu System Analysis and DC Technology Research Institute Electric Power Research Institute of Yunnan Power Grid Co. Ltd Kunming China Power system simulation and control technology department State Key Laboratory of HVDC EPRI CSG Guangzhou China Power system simulation and control technology department National Energy Power Grid Technology R&D Centre Guangzhou China Power system simulation and control technology department CSG Key Laboratory for Power System Simulation Guangzhou China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

To solve slow response speed and poor stability of traditional MPPT algorithms under rapidly changing environmental conditions, a MPPT control strategy combining improved butterfly algorithm and disturbance observation method is proposed. Firstly, the butterfly position in the population is initialized by Tent map, increasing the search space; Secondly, Gaussian mutation strategy is introduced to make the algorithm break out of local extremes; Then, a dynamic probability switching mechanism is adopted to balance the weight relationship between global and local search, improving algorithm optimization efficiency; Finally, in the later stage, disturbance observation method is used to track the maximum power and reduce power oscillation. simulation examples show that the proposed algorithm can find the maximum power point quickly and accurately under both static and dynamic shading conditions, and the power output is more stable.

关键词： Maximum power point trackers Photovoltaic systems Renewable energy sources Heuristic algorithms Switches Aerospace electronics Stability analysis Oscillators Optimization

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A Force Fight Balance Strategy in Civil Aircraft control Surface Triple Redundant Actuating System

A Force Fight Balance Strategy in Civil Aircraft Control Sur...

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Mechanical Engineering and Aerospace Engineering (MEAE), Asia Conference on

作者： Zeng Hanhan Gu Zhichao Huang Jian Flight Control System Dept. State Key Laboratory of Airliner Integration Technology and Flight Simulation COMAC Shanghai Aircraft Design & Research Institute Shanghai China

ISBN: (数字)9798350352252

ISBN: (纸本)9798350352269

In view of the force fight problem caused by the active-active-active working mode of fly-by-wire flight control system, a servo control actuator and force fight mitigation model is established by AMEsim, and a new force fight balance strategy is proposed. The balance strategy combines the force situation of control surface, using a new force fight calculation method and simulates with the PI equalization algorithm. In the worst case, DDP can be reduced from 451bar before optimization to 371bar after optimization, which is reduced by 17.7% The simulation model verifies the feasibility of the force fight balance strategy, and can provide a theoretical basis for the design and optimization of the later force fight balance.

关键词： Employee welfare Actuators Prevention and mitigation Atmospheric modeling simulation Force Servomotors Mechanical engineering Optimization Aerospace control

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Research on Testing Platform Based on Electric Driven Digital Twin Model

Research on Testing Platform Based on Electric Driven Digita...

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2023中国汽车工程学会年会暨展览会

作者： Fu Yu Sun Shoufu Kong Zhiguo Wang Fang Huang Xin State Key Laboratory of Automotive Simulation and Control CATARC New Energy Vehicle Test Center (TianJin) Co. Ltd.

In order to solve the problem that multiple system integration tests cannot be carried out due to the lack of electric drive systems in the early stage of vehicle development,a virtual reality combination test scheme based on the digital twin model of electric drive systems was proposed,and a method for constructing the digital twin model of electric drive systems was *** calculated and measured values of the digital twin model of water outlet temperature of electric drive systems under different operating conditions were compared,with a maximum error of only 4.1%.This digital twin model has the characteristics of accuracy,efficiency,and *** on this model,multiple system integration virtual reality integration testing can be completed in the absence of an electric drive system,and vehicle thermal management performance can be evaluated at the early stage of vehicle development.

关键词： digital twin model virtual reality combination test integration test response surface model

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Uniform Modeling of Hybrid AC/DC Transmission Network for Path-Aware Inter-Provincial Electricity Trading

Uniform Modeling of Hybrid AC/DC Transmission Network for Pa...

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2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023

作者： Tao, Shiyuan Tan, Zhenfei Yan, Zheng Deng, Hui Zhou, Ziqing The Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai Non-Carbon Energy Conversion and Utilization Institute Shanghai Jiao Tong University Shanghai200240 China Electric Power Research Institute Power Market Simulation Laboratory State Grid Zhejiang Electric Power Co. Ltd. China

ISBN: (纸本)9798350322699

To support the path-aware trading clearing of the inter-provincial electricity market in China, a uniform modeling method for the hybrid AC/DC transmission network is proposed in this paper. This method uses a radial equivalent network to replace the AC network for trading path identification. The depth-first search method is then leveraged to enumerate all trading paths in the unified AC/DC network. To demonstrate the effectiveness of the proposed method in the inter-provincial market clearing, the path-aware market clearing model and the high-low matchmaking market clearing model are established. Case studies based on a 6-province test system verify the effectiveness of the proposed method and compare the differences between the two market clearing mechanisms. © 2023 IEEE.

关键词： Equivalence hybrid AC/DC network market clearing regional electricity market trading path

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Study on empirical model and CFD about pressure rising in Cab during door closure 60

Study on empirical model and CFD about pressure rising in Ca...

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60th International Conference on Vibroengineering

作者： Su, Lili Pan, Zuofeng Qiu, Wenjie Li, Hongliang Peng, Tao Zhang, Zhiguo Automotive Engineering Research Institute Co. Ltd Tianjin China FAW Research and Development Institute State Key Laboratory of Comprehensive Technology on Automobile Vibration and Noise & Safety Control Changchun China College of Automobile and Transportation Tianjin University of Technology and Education Tianjin China

Aiming at the problem that there is a strong eardrum pressure in the passenger car during the closing process, two analysis and prediction methods, fast formula prediction and CFD simulation based on accurate models, are proposed. The regression model of ear pressure comfort was established by DOE method and multiple linear regression;The simulation software star-CCM+ is applied to simulate and analyze the dynamic characteristics of the flow field in the cockpit during the closing process by using the overlapping grid technology, and the pressure change curve near the ear is obtained. Finally, the CFD numerical simulation model is established by comparing and analyzing the regression prediction analysis results and the real vehicle test data. The results show that the effects of closing speed, effective opening area of pressure relief valve and air tightness of the whole vehicle on the pressure of passengers' eardrums decrease in turn, and the prediction error of multiple linear regression equation is 17 %;The analysis error of the internal flow field dynamic characteristic model based on refined modeling is 8 %. This study provides a theoretical basis for solving the problem of rapid prediction of eardrum pressure and optimization of engineering structure. © 2022 JVE International. All rights reserved.

关键词： Design of experiments

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Real-Time Optimized Dispatching control Strategy for EV V2G Based on Dynamic TOU Price

Real-Time Optimized Dispatching Control Strategy for EV V2G ...

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Energy Engineering and Power Systems (EEPS), International Conference on

作者： Ronggang Wang Haitao Min Weiyi Sun Rui Jiang Zhitong Liu State Key Laboratory of Automotive Simulation and Control Jilin University Changchun Jilin China General Institute of FAW Co. Ltd. Changchun Jilin China

ISBN: (数字)9798350375138

ISBN: (纸本)9798350375145

With the increasing popularity of electric vehicles, their disorderly centralized charging behavior will have a serious impact on the security of the power grid. In this paper, we propose a V2G optimal scheduling strategy for electric vehicles based on dynamic electricity price, which aims to guide the orderly charging and discharging behavior of electric vehicle users, and reduce the charging cost and battery aging cost of users. Firstly, a trip chain model based on Naive Bayes was constructed, and the details of each trip were generated by using NHTS data. Secondly, a dynamic electricity price model is established to describe the relationship between electricity price and grid load. With the goal of minimizing the charging cost and battery aging cost, the convex optimization algorithm is used to solve and update the all-day charging and discharging strategy of electric vehicles in real time. Finally, the simulation verifies the reliability of the travel chain data. The optimization strategy proposed in this paper can effectively reduce the charging cost of users, and is conducive to the realization of peak shaving and valley filling of power grids.

关键词： Vehicle-to-grid Costs Electricity Power system dynamics Dynamic scheduling Real-time systems Data models Power grids Vehicle dynamics Load modeling

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Using loose nanofiltration membrane for lake water treatment:A pilot study

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Frontiers of Environmental Science & Engineering 2021年第4期15卷 251-261页

作者： Danyang Liu Johny Cabrera Lijuan Zhong Wenjing Wang Dingyuan Duan Xiaomao Wang Shuming Liu Yuefeng F.Xie State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Chengdu Xingrong Environmental Co. Ltd.Chengdu610041China Civil and Environmental Programs Penn State UniversityMiddletownPA17057USA

Nanofiltration(NF)using loose membranes has a high application potential for advanced treatment of drinking water by selectively removing contaminants from the water,while membrane fouling remains one of the biggest problems of the *** paper reported a seven-month pilot study of using a loose NF membrane to treat a sand filtration effluent which had a relatively high turbidity(∼0.4 NTU)and high concentrations of organic matter(up to 5 mg/L as TOC),hardness and *** showed that the membrane demonstrated a high rejection of TOC(by<90%)and a moderately high rejection of two pesticides(54%–82%)while a moderate rejection of both calcium and magnesium(∼45%)and a low rejection of total dissolved solids(∼27%).The membrane elements suffered from severe membrane fouling,with the membrane permeance decreased by 70%after 85 days *** membrane fouling was dominated by organic fouling,while biological fouling was *** fouling was mainly caused by deposition of aluminum-bearing *** inorganic foulants were minor contents on membrane,their contribution to overall membrane fouling was *** fouling was not uniform on *** contents of organic and inorganic foulants were the highest at the inlet and outlet region,respectively,the severity of membrane fouling increased from the inlet to the outlet region of membrane element with a difference higher than 30%.While alkaline cleaning was not effective in removing the membrane foulants,the use of ethylenediamine tetraacetate(EDTA)at alkaline conditions could effectively restore the membrane permeance.

关键词： Nanofiltration Drinking water Membrane fouling Aluminum carryover Chemical cleaning

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Compound Effect of Excess Air Coefficient and Injection Timing on the Particulate Number Emissions of Dimethyl Ether/Gasoline Combined Injection Spark Ignition Engines In Lean Burn Conditions

SSRN

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SSRN 2022年

作者： Yang, Song Sun, Ping Feng, Jincheng Cui, Kexin Wang, Chao Dong, Wei Yu, Ximin Gu, Ye State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China

Dimethyl ether (DME), as an oxygenated fuel without C-C bond, has huge potential to suppress the particle emissions from engines in lean burn conditions. Moreover, injection timing is crucial for the formation of preferable distributed fuel mixture. Therefore, the compound effect of excess air coefficient and injection timing on the Particle Number (PN) emissions of a DME/gasoline combined injection engine in lean burn conditions is experimentally investigated. The results show that adding DME can decrease the Total Particle Number (TPN) emissions in both stoichiometric and lean burn conditions;but large DME blending ratio (DME ≥ 15%) is required for ultra lean burn conditions (λ > 1.2). In addition, both the Nucleation mode Particle Number (NPN) and Accumulation mode Particle Number (APN) emissions declined after rising the degree of lean burn conditions (λ). With the advancing of DME injection timing, TPN emissions decrease first and then increase;and the PN emissions of DME/gasoline engines with suitable injection timing was smaller than that of pure gasoline engines. The particle size distribution follows an unimodal nucleation mode;and the variation of DME ratio, injection timing and excess air coefficient do not change the distribution pattern. Changing DME injection timing and excess air coefficient cannot alter size of primary particle, d0;whereas the size becomes larger after adding DME (DME ≥ 15%). © 2022, The Authors. All rights reserved.

关键词： Particle size analysis

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Moving Horizon path planning for intelligent vehicle oriented to dynamic obstacle avoidance 6

Moving Horizon path planning for intelligent vehicle oriente...

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6th CAA International Conference on Vehicular control and Intelligence, CVCI 2022

作者： Han, Jiaqi Cui, Maoyuan Lv, Ying Liu, Kewang Dai, Qikun Guo, Hongyan Intelligent Connected Vehicle Development Institute China Faw Group Co. Ltd Changchun China College of Communication Engineering Jilin University The State Key Laboratory of Automotive Simulation and Control Changchun China

ISBN: (数字)9781665453745

ISBN: (纸本)9781665453745

In urban conditions, the road environment is very complex and the vehicle itself has strong nonlinearity, which makes the decision and control of obstacle avoidance path planning very challenging. To solve the problem of difficult vehicle path planning, this paper proposes a method for path planning that combines artificial potential fields with model predictive control. Drawing on the concept of virtual force field, the virtual force field and model prediction are organically combined by abstracting the force field function as the optimization objective, which can realize the modeling of dynamic environment through virtual force field and consider the multi-task and multi-objective problems in path planning through model prediction. At the same time, the state changes of both the obstacle vehicle and the main vehicle are predicted, and a good path planning effect can be achieved in the low-speed dynamic environment. The simulation results indicate that the method can complete the path planning for static and dynamic obstacles and ensure the safety and stability of the vehicle. © 2022 IEEE.

关键词： Motion planning

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