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ACS ES&T Air 2025年第3期2卷 331-342页

作者： Xudong Zheng Qinwen Tan Jie Ren Bin Luo Danlin Song Miao Feng Hefan Liu Yue Qin Yufang Hao Liming Zeng Xin Li Sihua Lu Huabin Dong Shaodong Xie College of Environmental Sciences and Engineering State Key Joint Laboratory of Environmental Simulation and Pollution Control Peking University Beijing 100871 China Chengdu Academy of Environmental Sciences Chengdu Sichuan 610072 China Sichuan Academy of Environmental Policy and Planning Chengdu Sichuan 610041 China College of Environmental Sciences and Engineering State Key Joint Laboratory of Environmental Simulation and Pollution Control Peking University Beijing 100871 China；Laboratory of Atmospheric Chemistry Energy and Environment Research Division Paul Scherrer Institute Villigen 5232 Switzerland

To reduce the uncertainty in analyzing ozone (O3) sensitivities based on observed concentrations of volatile organic compounds (VOCs) and nitrogen dioxide, this study proposed the application of consumed VOC concentrations to establish their nonlinear relationship in the actual atmosphere. These parameters were calculated based on the reaction rates and online observations of VOCs, nitrogen dioxide, and O3concentrations at Deyang, Chengdu, and Meishan in the Chengdu Plain, China, during summer 2019. The nighttime isoprene consumption was maximum at 2.03 ppbv at Meishan. The daytime acetaldehyde consumption was a maximum at 2.68 ppbv at Deyang, possibly due to its higher primary emissions and secondary production and its consumption by both OH radicals and photolysis. When the ratios of the total consumed VOC concentrations to the observed or initial NOx(NOx= NO + NO2) concentrations were 3.51 ppbv ppbv–1or 2.22 ppbv ppbv–1, daytime O3variations reached a maximum of 8.45 ppbv or 7.52 ppbv, respectively. The ratios delineated the VOC-sensitive and NOx-sensitive areas. Over 98% of hourly data were in VOC-sensitive areas at both Chengdu and Meishan, respectively, while over 14% of hourly data belonged to NOx-sensitive areas at Deyang. This provided a more accurate method for assessing real-time O3sensitivity and thus implementing dynamic hierarchical control strategies.

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Intelligent vehicle decision-making strategy integrating spatiotemporal features at roundabout

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Expert Systems with Applications 2025年 273卷

作者： Ma, Wenxiao Wu, Jian Sun, Bohua Leng, Xinlun Miao, Weiwei Gao, Zhenhai Li, Wenjin State Key Laboratory of Automotive Simulation and Control Jilin University Chang chun130022 China R&D Center Chassis Department China FAW Group Corporation Chang chun130022 China

To overcome the problems of weak driving safety and low traffic efficiency of intelligent vehicles in roundabout scenarios, and to improve the autonomous decision-making ability of intelligent systems. In this paper, we propose an intelligent vehicle Decision-Making Strategy based on SpatioTemporal graph neural Networks, namely DMS-STNet. Using end-to-end deep learning methods based on the historical information of intelligent vehicles and surrounding vehicles, output the action sequence of future driving behavior of intelligent vehicles. Specifically, a spatiotemporal graph is used to model the driving environment of vehicles, and a graph convolutional neural network is used to explore the spatial interaction relationship between intelligent vehicles and environmental vehicles. Next, based on the time convolutional network, learn the temporal characteristics of intelligent vehicles. Further integrate the complex spatiotemporal interaction relationship between intelligent vehicles and environmental vehicles through a gated fusion network. Moreover, a multi-layer perceptron is used to map the fused tensor into a sequence of driving behavior actions. In addition, experimental data collection and software in the loop testing verification were conducted on the Carla simulator platform. The research results indicate that the model proposed in this paper outperforms the comparative models in terms of prediction accuracy, safety, and traffic efficiency, fully leveraging the autonomous decision-making performance advantages of intelligent vehicles. © 2025 Elsevier Ltd

关键词： Convolutional neural networks

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Multi-Objective Coordination and Stability control of High Proportion Wind Power System Based on K-Domain Tuning Damping 19th

Multi-Objective Coordination and Stability Control of High P...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Zhang, Qingtao Gao, Diju Zhang, Dan Cai, Haiqing Gu, Haohan Chen, Wei Wu, Wencong Chen, Zhihao Institute of Logistics Engineering Shanghai Maritime University Shanghai China Institute of Logistic Science and Engineering Shanghai Maritime University Shanghai China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9789819608966

With the further development of "double high" characteristics of power system, the traditional stability problem dominated by synchronous generator has gradually evolved into a new stability problem dominated by power electronic equipment control. In addition, different types of failure problems can occur in wind power systems. In order to achieve multi-objective coordinated and stable operation of high proportion wind power system, a damping control method with parameters tuning is proposed, which includes the design of filtering link and proportional amplification link. Among them, the key parameters of the proportional link are adjusted. Finally, the feasibility of the proposed control method is verified by simulation tests. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Electric power system stability

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Application of Omega vortex identification method in cavity buffeting noise

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Journal of Hydrodynamics 2021年第2期33卷 259-270页

作者： Yang-hui Zhang Xing-jun Hu Wei Lan Yi-chen Liu Mo Wang Jing-yu Wang State Key Laboratory of Automobile Simulation and Control Jilin UniversityChangchun 130025China

The cavity buffeting noise is related to the free shear layer oscillation and the periodic vortex shedding,where weak vortices coexist with strong vortices and the strong shear phenomenon also exists at the opening of the ***,it is of great significance to accurately capture vortices at the opening for the control of the cavity buffeting *** paper first compares the Omega vortex identification method with the Q andλ2criteria based on the large eddy simulation(LES)of the backward-facing step flow,and it is found that the Omega method enjoys the following advantages:it is not sensitive to a moderate threshold change andΩ=0.52 can be used as a fixed threshold,it can capture both the strong and weak vortices at the same time;and it will not be contaminated by the *** the Omega(Ω)method is applied to the LES of the cavity buffeting noise:the mechanism of the cavity buffeting noise is studied based on a simple cavity model firstly,and then the effects of the incoming boundary layer thicknesses and the incoming boundary layer shapes on the cavity buffeting noise are *** results show that:theΩmethod clearly captures the processes of the vortex generation,development,collision and fragmentation,verifying that the generation of the cavity buffeting noise is related to the free shear layer oscillation and the periodic vortex shedding;as the thickness of the incoming boundary layer increases,the free shear layer becomes more stable and the Helmholtz resonance is avoided effectively,thereby the cavity buffeting noise is reduced effectively,adding a convexity upstream of the cavity opening to interfere the shape of the incoming boundary layer to reduce the acoustic feedback effect can reduce the cavity buffeting noise effectively.

关键词： Vortex identification Omega(Ω) buffeting noise boundary layer

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simulation Research on Dynamic Characteristics of Hydraulic Mount

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Chinese Journal of Mechanical Engineering 2021年第3期34卷 336-344页

作者： Yanhua Liu Xin Guan Pingping Lu Rui Guo State Key Laboratory of Automobile Simulation and Control Jilin UniversityChangchun 130022China

At present,research on hydraulic mounts has mainly focused on the prediction of the dynamic stiffness and loss *** to the traditional finite element analysis method,the programming method can be used to analyze hydraulic mounts for a rapid and accurate understanding of the influence of the different mounting parameters on the dynamic stiffness and loss *** aims of this study were to investigate the nonlinear dynamic characteristics of a hydraulic mount,and to identify the parameters that affect the dynamic stiffness and loss angle using MATLAB software programs to obtain the influence curves of the parameters,so as to use suitable parameters as the basis for vibration analysis.A nonlinear mechanical model of a hydraulic mount was established according to the basic principles of fluid *** dynamic stiffness and loss angle of the dimensionless expression were proposed.A numerical calculation method for the dynamic performance evaluation index of the hydraulic mount was derived.A one-to-one correspondence was established between the structural parameters and peak frequency of the evaluation *** accuracy and applicability of the mechanical model were verified by the test *** results demonstrated the accuracy of the nonlinear mechanical model of the hydraulic mount,and the vehicle driving comfort was greatly improved by the optimization of the structural parameters.

关键词： Hydraulic mount Vibration analysis Dynamic characteristics Calculation method

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Research on key Issues of Consistency Analysis of Vehicle Steering Characteristics

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Chinese Journal of Mechanical Engineering 2021年第2期34卷 123-134页

作者： Yanhua Liu Xin Guan Pingping Lu Rui Guo State Key laboratory of Automobile Simulation and Control Jilin UniversityChangchun 200240China

Given the global lack of effective analysis methods for the impact of design parameter tolerance on performance deviation in the vehicle proof-of-concept stage,it is difficult to decompose performance tolerance to design parameter *** study proposes a set of consistency analysis methods for vehicle steering *** process of consistency analysis and control of automotive performance in the conceptual design phase is proposed for the first time.A vehicle dynamics model is constructed,and the multi-objective optimization software Isight is used to optimize the steering performance of the *** analysis is used to optimize the design performance *** tolerance interval of the performance is obtained by comparing the original car performance value with the optimized *** the help of layer-by-layer decomposition theory and interval mathematics,automotive performance tolerance has been decomposed into design parameter *** simulation and real vehicle experiments,the validity of the consistency analysis and control method presented in this paper are *** decomposition from parameter tolerance to performance tolerance can be achieved at the conceptual design stage.

关键词： Interval mathematical theory Layer by layer decomposition theory Consistency of performance Multi-objective optimization

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Passive Thermal control Strategies for Lithium-Ion Batteries under Thermal Abuse Conditions: An Experimental Study on Thermal Insulation Efficacy

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Journal of Energy Engineering 2025年第4期151卷

作者： Hu, Xingjun Gao, Feifan Xiao, Yang Yang, Yang State Key Laboratory of Automobile Simulation and Control Jilin Univ. No. 5988 Renmin St. Changchun130025 China College of Automotive Engineering Jilin Univ. No. 5988 Renmin St. Changchun130025 China

Thermal abuse conditions can seriously reduce the thermal stability of lithium-ion batteries (LIBs) and even trigger thermal runaway (TR) of LIBs. This is very dangerous for electric vehicles if the TR event shows up inside the battery module. In this work, the passive control method of battery TR under the thermal abuse condition has been studied. First, thermal insulation experiments are conducted with the single-layer ceramic fiber-reinforced silica dioxide aerogel board. Results show that the 1.5-mm-thick aerogel board could not prevent TR of the battery within the heating period. But the heating time required for inducing TR is extended by 357 s. Different performance tests on the three-layer composite thermal insulation board (TTI board) are also conducted. Changing the type and thickness of metal sheets has a certain impact on the overall thermal insulation performance of TTI boards. The combination of 0.2-mm-thick copper (Cu) sheets and aerogel board in the experiment has the best thermal insulation ability. Compared with the single-layer insulation board, a TTI board reduces the maximum surface temperature of the battery by 39.18°C, a decrease of 29.96%. From a mechanistic perspective, the addition of metal sheets in the TTI board greatly reduces its absorption of thermal radiation, thereby improving the overall insulation performance. © 2025 American Society of Civil Engineers.

关键词： Lithium-ion batteries

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Multi-mode energy management strategy for hydraulic hub-motor auxiliary system based on improved global optimization algorithm

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Science China(Technological Sciences) 2020年第10期63卷 2082-2097页

作者： ZENG XiaoHua WU ZiQiao WANG Yue SONG DaFeng LI GuangHan State Key Laboratory of Automobile Simulation and Control Jilin UniversityChangchun 130025China

Heavy commercial vehicles equipped with a hydraulic hub-motor auxiliary system(HHMAS)often operate under complex road *** appropriate operating mode and realizing reasonable energy management to match unpredictable road conditions are the keys to the driving performance and fuel economy of ***,a multi-mode energy management strategy(MM-EMS)based on improved global optimization algorithm is proposed in this study for ***,an improved dynamic programming(DP)algorithm for HHMAS is *** improved DP algorithm considers the effect of SOC and vehicle speed,thereby preventing the calculation results from falling into local *** algorithm also reduces the dimension of the control variable data grid,and the calculation time is reduced by 35%without affecting the ***,a MM-EMS with hierarchical control is *** strategy extracts the optimal control rules from the results of the improved DP *** it divides the system’s operating region into two types,namely,single-mode working region and mixedmode working *** the single-mode working region,mode switching is realized through fixed *** the mixedmode working region,a linear quadratic regulator(LQR)is adopted to determine a target mode and realize SOC tracking ***,the designed MM-EMS is verified separately in offline simulation and hardware-in-the-loop(HIL)under actual vehicle test *** results show that the results between HIL and offline simulation are largely ***,in comparison with the engine optimal control strategy,the designed MM-EMS can achieve an approximate optimal control,with oil savings of 3.96%.

关键词： hydraulic hub-motor auxiliary system energy management strategy global optimization hierarchical control

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Extraction and application of intrinsic predictable component in day-ahead power prediction for wind farm cluster

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Energy 2025年 328卷

作者： Yang, Mao Jiang, Renxian Yu, Xinnan Wang, Bo Su, Xin Ma, Chenglian The Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing100912 China

With the continuous updating and iteration of artificial intelligence algorithms, prediction models emerge one after another, but the research and utilization of the predictability of wind power is still less. Therefore, this paper proposed a day-ahead power prediction method for Wind Farm Cluster (WFC) based on intrinsic predictable component extraction. Firstly, based on the difference of power distribution between wind farm and WFC, a method of Wind Power Curve (WPC) modeling for WFC is proposed, which provides the basis for establishing the Final Set of Wind Power Curve (FSWPC). Secondly, the Intrinsic Predictable Component (IPC) of wind power is extracted based on the FSWPC, and the Interference Component (IC) of wind power is separated to eliminate the influence of IC on IPC in the process of prediction. Thirdly, the historical similarity matching method with large threshold is used to predict the IC to make up for the numerical deficiency of the IPC. Finally, the proposed method was applied to a WFC in China to verify its effectiveness. Compared with the traditional prediction strategy, the NRMSE, NMAE and MAPE are reduced by 1.59 %, 1.15 % and 6.42 %, respectively. © 2025 Elsevier Ltd

关键词： Iterative methods

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A framework of day-ahead wind supply power forecasting by risk scenario perception

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IEEE Transactions on Sustainable Energy 2025年

作者： Yang, Mao Huang, Yutong Wang, Zhao Wang, Bo Su, Xin Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin132012 China China Electric Power Research Institute State Key Laboratory of Operation and Contr Ol of Renewable Energy & Storage Systems Beijing100912 China

Wind power forecasting (WPF) systems are essential to maintain the safe and stable operation of the power system in case of large-scale grid-connected wind farms. However, the current forecasting has the problem of disunity between statistical value and application value, that is, it only pays attention to its forecasting accuracy and ignores the risks caused by it in the power system. In order to solve the above problems, this study proposes a framework of wind supply power forecasting (WSPF) for wind farm cluster, which takes into account the risk scenario perception. First of all, aiming at the predicted risk phenomenon in WPF, TimesNet combined with the fluctuation information of Numerical Weather Prediction (NWP) wind speed is used to identify the corresponding risk scenarios. Secondly, the effective consumption area and power supply risk area evaluation index, as well as the accuracy of WSPF are defined, and the optimal forecasting curve correction scheme is fitted according to the index. Thirdly, taking into account the correction scheme and identification results, a variety of predictors are used to verify the WSPF according to the above framework. Finally, the proposed method is applied to a wind farm cluster in Inner Mongolia Autonomous region of China, the average accuracy of WSPF has increased by 37%, which verifies the effectiveness and universality of this method. © 2010-2012 IEEE.

关键词： Wind forecasting

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