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Design of energy-saving driving strategy based on proximal policy optimization considering urban transport information

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control Theory and Technology 2025年第1期23卷 74-90页

作者： Qifang Liu Dazhen Sun Haowen Chen Dongzi Li Ping Wang Department of Control Science and Engineering Jilin UniversityChangchun130022JilinChina State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun130022JilinChina

Eco-driving has always been an ongoing *** urban driving conditions,traffic regulations,other vehicle behaviors,and special driving scenarios will have a major impact on the energy consumption of autonomous *** a representative algorithm of artificial intelligence,reinforcement learning has the ability to perform well under complex *** paper uses deep reinforcement learning algorithms to design the economical driving strategies of autonomous vehicles in three driving scenarios:driving at signalized intersection under free traffic flow,car-following on ramps,and driving at signalized intersection considering queue *** the above three driving scenarios,the driving strategy proposed in this paper achieves economical driving performance while satisfying the driving scenario requirements.

关键词： Eco-driving strategy Reinforcement learning Signalized intersection Car-following

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Open-source dataset for traffic light and countdown display detection in urban environment

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Science China(Information Sciences) 2025年第5期68卷 407-408页

作者： Shuchun WAN Haitao DING Jianwei ZHANG Yunfeng HU Hong CHEN State Key Laboratory of Automotive Simulation and Control Jilin University Department of Control Science and Engineering Jilin University College of Electronic and Information Engineering Tongji University

Here we introduce an open-source dataset for traffic light and countdown display detection,which includes three subsets:a subset of traffic light data,a subset of traffic light and countdown display data,and a subset ...

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Adaptative Pressure Estimation and control Architecture for Integrated Electro-Hydraulic Brake System

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Chinese Journal of Mechanical Engineering 2025年第1期38卷 353-381页

作者： Zhenhai Gao Yi Yang Guoying Chen Liang Yuan Jianguang Zhou Jie Zhang State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130022China Chongqing Research institute Jilin UniversityChongqing 404100China China Automotive Innovation Corporation Nanjing 210000China

The current research of master cylinder pressure estimation mainly relies on hydraulic characteristic or vehicle *** they are not independently applicable to any environment and have their own scope of *** addition,about the master cylinder pressure control,there are few studies that can simultaneously balance pressure building accuracy,speed,and prevent pressure overshoot and *** this paper,an adaptative fusion method based on electro-hydraulic characteristic and vehicle mode is proposed to estimate the master cylinder *** fusion strategy is mainly based on the prediction performance of two algorithms under different vehicle speeds,pressures,and ABS *** from this,this article also includes real-time prediction of the friction model based on RLS to improve the accuracy of the electro-hydraulic *** order to simultaneously balance pressure control accuracy,response speed,and prevent overshoot and jitter,this article proposes an adaptative LQR controller for MC pressure control which uses fuzzy-logic controller to adjust the weights of LQR controller based on target pressure and difference compared with actual *** mode-in-loop and hardware-in-loop tests in ramp,step and sinusoidal response,the whole estimation and control system is verified based on real hydraulic system and the performance is satisfactory under these *** research proposes an adaptative pressure estimation and control architecture for integrated electro-hydraulic brake system which could eliminate pressure sensors in typical scenarios and ensure the comprehensive performance of pressure control.

关键词： Brake-by-wire(BBW) MC pressure estimation MC pressure control Integrated electro-hydraulic brake system(IEHB) Adaptative sliding mode observer(ASMO) Adaptative LQR controller

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simulation study on stratification and homogeneous combustion of an H2O2-ethanol/gasoline combined injection engine 5

Simulation study on stratification and homogeneous combustio...

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5th International Conference on Mechanical Engineering and Materials, ICMEM 2024

作者： Sun, Ping Zhang, Jufang Yu, Xiumin Li, Decheng College of Automotive Engineering Jilin University Changchun130022 China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China State Key Laboratory of Automotive Simulation and Control Jilin University Renmin Street 5988 Changchun130022 China

ISBN: (数字)9781510688971

ISBN: (纸本)9781510688964

Due to the imperfect fuel characteristics, the specific fuel consumption of ethanol fuel was larger than that of gasoline, which limited the application of ethanol fuel in the engine field. H2O2 is a strong activity additive to regulate fuel properties. In this paper, the Converge simulation platform was used to study the effects of H2O2 additive on temperature field distribution and micro-active radicals of an SI combined injection engine fueled by ethanol/gasoline under the stratification and homogeneous combustion. The research results showed that the H2O2 additive could effectively promote flame core formation and development and have a more significant effect on the stratification combustion. Considering the whole power stroke, the combustion of the homogeneous mixture was more complete, the active groups were more, the heat loss was less, and the output power of the engine was greater. In general, 20% H2O2 additive plus DIT = 300°CA BTDC could contribute to the power and ultra-low emissions of the engine. © 2025 SPIE.

关键词： Flame research

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Carbon Energy 2025年第2期7卷 121-130页

作者： Tianyi Xu Dongxu Jiao Jinchang Fan Yilong Dong Zhaoyong Jin Lei Zhang Wei Zhang Jingxiang Zhao Weitao Zheng Xiaoqiang Cui State Key Laboratory of Automotive Simulation and Control Key Laboratory of Automobile MaterialsMinistry of EducationSchool of Materials Science and EngineeringJilin UniversityChangchunChina College of Chemistry Jilin UniversityChangchunChina Key Laboratory of Photonic and Electronic Bandgap Materials Ministry of EducationCollege of Chemistry and Chemical EngineeringHarbin Normal UniversityHarbinChina

Strain effects have garnered significant attention in catalytic applications due to their ability to modulate the electronic structure and surface adsorption properties of *** this study,we propose a novel approach called“similar stacking”for stress modulation,achieved through the loading of Co_(2)P on Ni_(2)P(Ni_(2)P/Co_(2)P).Theoretical simulations reveal that the compressive strain induced by Co_(2)P influences orbital overlap and electron transfer with hydrogen ***,the number of stacked layers can be adjusted by varying the precursor soaking time,which further modulates the strain range and hydrogen *** a 2-h soaking condition,the strain effect proves favorable for efficient hydrogen *** characterizations using X-ray diffraction,high-angel annular dark-field scanning transmission election microscope(HAADF-STEM),and X-ray absorption near-edge structure spectroscopy successfully demonstrate lattice contraction of Co_(2)P and bond length shortening of ***,our catalyst shows an ultrahigh current density of 1 A cm^(-2) at an overpotential of only 388 mV,surpassing that of commercial Pt/C,while maintaining long-term *** material design strategy of similar stacking opens up new avenues of strain modulation and the deeper development of electrocatalysts.

关键词： compressive strain heterogeneous phosphide hydrogen evolution reaction similar stacking

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Construction of Multi-Scale Aging Indicators Based on the Aging Mechanism of Fuel Cells

Construction of Multi-Scale Aging Indicators Based on the Ag...

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2024 Vehicle Powertrain Diversification Technology Forum, VPD 2024

作者： Lin, Yipeng Min, Haitao Sheng, Xia Zhang, Zhaopu Sun, Weiyi Jilin University State Key Laboratory of Automotive Simulat China China FAW Corporation Limited General Research and Developm China State Key Laboratory of Automotive Simulation and Control China

state of health (SOH) estimation is essential to ensure safety and reliability in the operation of Proton Exchange Membrane Fuel Cells (PEMFCs). The aging of fuel cells results from the deterioration of multiple internal components, and the aging degree of some key components even directly determines the end of cell life. Due to the complexity of the internal reactions in fuel cell, many internal parameters cannot be measured or recorded during aging tests. In addition, external characteristics do not reflect the internal changes in the cell. Therefore, establishing a multi-scale metric based on fuel cell components is very important for fuel cell life research. During the aging process of a fuel cell, the contributions of different components to the overall aging vary significantly. Additionally, the allocation of indicator parameters presents a challenge in multi-scale modeling. To address these issues, this paper proposes a method to construct multi-scale indicators for fuel cells. Firstly, based on the operational mechanisms of fuel cells, a 3-D Computational Fluid Dynamics (CFD) model of the fuel cell is developed using COMSOL Multiphysics 6.2 to simulate the working environment of the fuel cell. In addition, based on existing research, the aging mechanisms of various fuel cell components are analyzed, and aging models are established. The aging of selected components is then simulated in MATlab.R2023a based on the component aging mechanism model. Moreover, a co-simulation platform based on COMSOL and MATlab.is established to facilitate parameter interaction and iteration between the two models, thereby obtaining the aging data of the cell. Finally, the data is analyzed to select parameters and allocate coefficients for the multi-scale aging indicators. The multi-scale aging indicator can provide an effective approach to characterizing the aging state of fuel cells. © 2025 SAE International.

关键词： MATlab

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Microdynamic modulation through Pt–O–Ni proton and electron“superhighway”for pH-universal hydrogen evolution

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Journal of Energy Chemistry 2025年第2期101卷 808-815,I0018页

作者： Dewen Wang Yuting Chen Bohan Yao Tian Meng Yanchao Xu Dongxu Jiao Zhicai Xing Xiurong Yang State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022JilinChina University of Science and Technology of China Hefei 230026AnhuiChina Department of Chemistry Shenzhen Grubbs Institute and Guangdong Provincial Key Laboratory of Energy Materials for Electric PowerSouthern University of Science and TechnologyShenzhen 518055GuangdongChina State Key Laboratory of Automotive Simulation and Control School of Materials Science and EngineeringJilin UniversityChangchun 130012jilinChina

Optimizing the microdynamics in alkaline and neutral conditions is a significant but challenging task in developing pH-universal hydrogen evolution(HER)***,a unique Pt-O-Ni bridge has been constructed to alter the coordination and electronic environment between Pt nanoparticles(Pt_n)and nickel metaphosphate(NPO)substrate(Pt-NPO).Sufficient electron transfer from NPO to Pt_n to maintain an electron-rich environment and a low valence state of Pt_***,H*is produced from the H_(2)O dissociation on Ni site and then spillover toward Pt sites to bind into H_(2),which makes up for the insufficient H_(2)O dissociation ability of Pt in Volmer ***-NPO exhibits long-term stability and only need the overpotentials of 22.3,33.0 and 30.5 mV to attain 10 mA cm^(-2)in alkaline,neutral and acidic media,*** anion-exchange membrane(AEM)water electrolyzer catalyzed by Pt-NPO shows high water electrolysis performance that a cell voltage of 1.73 V is needed to obtain the current density of500 mA cm^(-2)in 1 M KOH at 80℃,at the same time maintains good stability for 350 *** regulation strategy proposed in this work is helpful for the design and synthesis of highly efficient pH-universal HER electrocatalysts.

关键词： Hydrogen evolution reactions pH-universal HER electrocatalysts Metal-support interactions Microdynamics Atomic and electronic regulation

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Research on the Emissions and Fuel Efficiency Sensitive Factors of Gasoline Engine Using a Support Vector Machine Coupling Sobol Method

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Journal of Energy Resources Technology, Part A: Sustainable and Renewable Energy 2025年第3期1卷 031201页

作者： Li, Yinlong Han, Yongqiang Zhang, Kechao State Key Laboratory of Automotive Simulation and Control Jilin University Changchun 130025 China

With the increasing prominence of energy and environmental issues, research in the field of internal combustion engines is becoming more and more refined. Engines are affected by the coupling of many factors, and it is necessary to decouple and quantify the impact of inputs on the objectives. In this paper, the effect of engine configuration parameters, operating conditions, and fuel parameters on fuel efficiency and emissions was investigated based on a support vector machine coupling Sobol method. The results of Sobol sensitivity analysis show that the most sensitive parameters for both brake specific fuel consumption and carbon monoxide emission are excess air ratio, total hydrocarbon emission and nitrogen oxides emission, engine load, and intake pressure; the first-order indices are 0.72, 0.27, 0.17, and 0.20, respectively. The most sensitive combustion parameters are maximum pressure in the cylinder, indicated mean effective pressure, maximum temperature in the cylinder, and high-temperature range, and the first-order indices are 0.40, 0.25, 0.39, and 0.57, respectively. It can be summarized through all the Sobol indices that, on the one hand, some input parameters, such as excess air ratio, affect fuel efficiency and emissions through the combustion process and, on the other hand, such as oxygen mass fraction directly affects carbon monoxide emission and total hydrocarbon emission by affecting the oxygen concentration in the cylinder. Sensitivity analysis based on the Sobol method coupling support vector machine was proved to be feasible and will provide valuable guidance for the optimization of internal combustion engines.

关键词： Sobol sensitivity analysis emissions support vector machine fuel efficiency agent-based model

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Machine learning driven rational design of dual atom catalysts on graphene for carbon dioxide electroreduction

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Nano Research 2025年第1期18卷 186-194页

作者： Dongxu Jiao Xinyi Li Mingzi Sun Lin Liu Jinchang Fan Jingxiang Zhao Bolong Huang Xiaoqiang Cui State Key Laboratory of Automotive Simulation and Control School of Materials Science and Engineeringand Key Laboratory of Automobile Materials of MOEJilin UniversityChangchun 130012China Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina College of Chemistry and Chemical Engineering and Key Laboratory of Photonic and Electronic Bandgap MaterialsMinistry of EducationHarbin Normal UniversityHarbin 150025China

The development of high-performance atomiccatalysts for the carbon dioxide reduction reaction(CO_(2)RR)is atime-consuming process due to the complexity of the reactionmechanism and the uncertainty of the active ***,wehave proposed combining density functional theory(DFT)andmachine learning(ML)to investigate the potential of topologicalgraphene-based dual-atom catalysts(DACs)as CO_(2)*** analyzing the ML results,we identify thenumber of d-orbital electrons in the active site as a key factorinfluencing the CO_(2)RR catalytic ***,wepropose a simple descriptor to measure the CO_(2)RR activity ofthese *** findings provide plausible explanations for thesynergistic interactions between bimetallic atoms in CO_(2)RR andallow us to screen the homogeneous Ni-Ni pair as the mostpromising dual-atom *** work offers a fast MLapproach based on limited DFT calculations to predict the mostelectroactive and stable DACs on carbon support for CO_(2)RR,facilitating rapid screening of high-performance dual-atomcatalysts.

关键词： CO_(2)reaction reduction dual-atom catalysts density functional theory machine learning

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Micro-structure evolution, precipitation behavior and strengthening mechanism of Ni-Cr-Mo system steel fabricated via laser powder bed fusion and subsequent quenching control

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Chinese Journal of Aeronautics 2025年第3期38卷 560-592页

作者： Qing WANG Deyin KONG Shihui ZHOU Xingran LI Zhihui ZHANG The Key Laboratory of Bionic Engineering(Ministry of Education) Jilin UniversityChangchun 130025China Weihai Institute for Bionic Jilin UniversityWeihai 264402China State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130025China

High-performance 24CrNiMo steel was fabricated using Laser Powder Bed Fusion (LPBF). Subsequent quenching treatment was applied and the influence of quenching temperatures on micro-structure evolution and properties was systematically characterised and analysed. The micro-structure of the as-built steel consisted of two parts. The first part comprised martensite with twins combined with ω-Fe nano-particles, and the second part consisted of lower bainite in the molten pool, as well as upper bainite, granular bainite and tempered martensite in the heat-affected zone. With the quenching temperatures varying from 800℃ to 950℃, the micro-structure gradually transformed from acicular ferrite + martensite to tempered martensite +θ-Fe3C carbides, and the grain size exhibited noticeable growth. Moreover, quenching treatments could eliminate the anisotropy and inhomogeneity of the micro-structure. The rod-shaped nanosized η-Fe2C and θ-Fe3C precipitates were clearly observed, which were converted from ω-Fe and distributed at multiple angles in the lath. The size and number of nano-precipitates, triggered by the high self-tempering degree of martensite, gradually increased. The relationships among grain size, the twins, dislocation density and nano-precipitation and the dramatically improved performance of quenched samples were analysed using strengthening mechanisms. After quenching at 850℃, the as-built 24CrNiMo steel attained ultra-high mechanical properties including hardness, Ultimate Tensile Strength (UTS), Elongation (El) and impact energy with values of 480.9 HV_(1), 1611.4 MPa, 9.8% and 42.8 J, respectively. Meanwhile, both the wear and thermal fatigue resistance increased by approximately 40%. This study demonstrated that LPBF-fabricated 24CrNiMo steel, with matching good performances, can be achieved using a subsequent one-step quenching process.

关键词： Laser powder bed fusion 24CrNIMo steel Quenching control Micro-structure evolution Precipitate Comprehensive properties Strengthening mechanisms

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