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盐边县温泉井田煤质特征及用途评价

煤炭技术 2025年第1期44卷 120-124页

作者：牟文阳伟唐晓林四川省能源地质调查研究所成都610072

盐边县温泉井田的地质勘查程度已经不能满足中型矿井开采的可行性研究,因此,需要对该地区的煤质特征及工艺性能进行进一步研究。温泉井田主要含煤地层为上三叠统大荞地组,煤层结构简单,共含可采煤层7层(全区可采3层,局部可采4层),各煤... 详细信息

盐边县温泉井田的地质勘查程度已经不能满足中型矿井开采的可行性研究,因此,需要对该地区的煤质特征及工艺性能进行进一步研究。温泉井田主要含煤地层为上三叠统大荞地组,煤层结构简单,共含可采煤层7层(全区可采3层,局部可采4层),各煤层平均厚度0.41~0.83 m。宏观煤岩组分以半暗煤为主,次为半亮煤;多呈不规则的细-中条带状、线理状产出。显微组分以镜质组为主,有机显微组分含量较高,灰分变化大,硫分、水分低、浮煤挥发分含量高,发热量大;流动温度、软化温度均以中等程度为主,煤灰成分主要为SiO_(2)、Al_(2)O_(3)和Fe_(2)O_(3),煤对二氧化碳的反应性与温度呈正相关,而煤灰黏度与温度呈负相关。因此,综合认为温泉井田主要可采煤层属低-中灰、特低硫-低硫、中高-高发热量的煤,主要利用方向可作为优质炼焦配煤,用于生产冶金焦炭。

关键词：盐边县井田煤质特征优质炼焦配煤

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Electrochemical performance of polygonized carbon nanofibers as anode materials for lithium-ion batteries

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Particuology 2013年第4期11卷 401-408页

作者： Jinjin Jiang xiaolin tang Rui Wu Haoqiang Lin Meizhen Qu Chengdu Institute of Organic Chemistry Chinese Academy of Sciences Graduate University of Chinese Academy of Sciences

Carbon nanofibers with a polygonal cross section （P-CNFs） synthesized using a catalytic chemical vapor deposition （CCVD） technology have been investigated for potential applications in lithium batteries as anode materials. P-CNFs exhibit excellent high-rate capabilities. At a current density as high as 3.7 and 7.4 A/g, P-CNFs can still deliver a reversible capacity of 198.4 and 158.2 mAh/g, respectively. To improve their first coulombic efficiency, carbon-coated P-CNFs were prepared through thermal vapor deposition （TVD） of benzene at 900 ~C. The electrochemical results demonstrate that appropriate amount of carbon coating can improve the first coulombic efficiency, the cycling stability and the rate performance of P-CNFs. After carbon coating, P-CNFs gain a weight increase approximately by 103 wt%, with its first coulombic efficiency increasing from 63.1 to 78.4%, and deliver a reversible capacity of 197.4mAh/g at a current density of 3.7 A/g, After dozens of cycles, there is no significant capacity degradation at both low and high current densities.

关键词： P-CNFsAnodeRate capabilityTVDFirst coulombic efficiency

Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 181-195页

作者： xiaolin tang Yuyou Yang Teng Liu Xianke Lin Kai Yang Shen Li IEEE the College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing 400044China the Clinical Research Center and Medical Pathology Center Chongqing University Three Gorges HospitalChongqing UniversityWanzhou 404000 the Department of Automotive and Mechatronics Engineering Ontario Tech UniversityOshawa ON LIG OC5Canada the School of Civil Engineering Tsinghua UniversityBeijing 100084China

Parking in a small parking lot within limited space poses a difficult task. It often leads to deviations between the final parking posture and the target posture. These deviations can lead to partial occupancy of adjacent parking lots, which poses a safety threat to vehicles parked in these parking lots. However, previous studies have not addressed this issue. In this paper, we aim to evaluate the impact of parking deviation of existing vehicles next to the target parking lot(PDEVNTPL) on the automatic ego vehicle(AEV) parking, in terms of safety, comfort, accuracy, and efficiency of parking. A segmented parking training framework(SPTF) based on soft actor-critic(SAC) is proposed to improve parking performance. In the proposed method, the SAC algorithm incorporates strategy entropy into the objective function, to enable the AEV to learn parking strategies based on a more comprehensive understanding of the environment. Additionally, the SPTF simplifies complex parking tasks to maintain the high performance of deep reinforcement learning(DRL). The experimental results reveal that the PDEVNTPL has a detrimental influence on the AEV parking in terms of safety, accuracy, and comfort, leading to reductions of more than 27%, 54%, and 26%respectively. However, the SAC-based SPTF effectively mitigates this impact, resulting in a considerable increase in the parking success rate from 71% to 93%. Furthermore, the heading angle deviation is significantly reduced from 2.25 degrees to 0.43degrees.

关键词： Automatic parking control strategy parking deviation(APS) soft actor-critic(SAC)

Lifetime and Aging Degradation Prognostics for Lithium-ion Battery Packs Based on a Cell to Pack Method

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Chinese Journal of Mechanical Engineering 2022年第1期35卷 192-207页

作者： Yunhong Che Zhongwei Deng xiaolin tang Xianke Lin Xianghong Nie Xiaosong Hu College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing 400044China State Key Laboratory of Mechanical Transmissions Chongqing UniversityChongqing 400044China Department of Automotive Mechanical and Manufacturing EngineeringOntario Tech UniversityOshawaON L1G 0C5Canada Powertrain Engineering R&D Institute Chongqing Changan Automotive Co.LtdChongqing 401133China

Aging diagnosis of batteries is essential to ensure that the energy storage systems operate within a safe *** paper proposes a novel cell to pack health and lifetime prognostics method based on the combination of transferred deep learning and Gaussian process *** health indicators are extracted from the partial discharge *** sequential degradation model of the health indicator is developed based on a deep learning framework and is migrated for the battery pack degradation *** future degraded capacities of both battery pack and each battery cell are probabilistically predicted to provide a comprehensive lifetime ***,only a few separate battery cells in the source domain and early data of battery packs in the target domain are needed for model *** results show that the lifetime prediction errors are less than 25 cycles for the battery pack,even with only 50 cycles for model fine-tuning,which can save about 90%time for the aging ***,it largely reduces the time and labor for battery pack *** predicted capacity trends of the battery cells connected in the battery pack accurately reflect the actual degradation of each battery cell,which can reveal the weakest cell for maintenance in advance.

关键词： Lithium-ion battery packs Lifetime prediction Degradation prognostic Model migration Machine learning

Comparative Study of Trajectory Tracking Control for Automated Vehicles via Model Predictive Control and Robust H-infinity State Feedback Control

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Chinese Journal of Mechanical Engineering 2021年第4期34卷 168-181页

作者： Kai Yang xiaolin tang Yechen Qin Yanjun Huang Hong Wang Huayan Pu College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing 400000China School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100080China School of Automotive Studies Tongji UniversityShanghai 201804China School of Vehicle and Mobility Tsinghua UniversityBeijing 100080China

A comparative study of model predictive control(MPC)schemes and robust Hstate feedback control(RSC)method for trajectory tracking is proposed in this *** main objective of this paper is to compare MPC and RSC controllers’performance in tracking predefined trajectory under different *** controller is designed based on the simple longitudinal-yaw-lateral motions of a single-track vehicle with a linear tire,which is an approximation of the more realistic model of a vehicle with double-track motion with a non-linear tire *** is designed on the basis of the same method as adopted for the MPC controller to achieve a fair ***,three test cases are built in CarSim-Simulink joint ***,the verification test is used to test the tracking accuracy of MPC and RSC controller under well road ***,the double lane change test with low road adhesion is designed to find the maximum velocity that both controllers can carry out while guaranteeing ***,an extreme curve test is built where the road adhesion changes suddenly,in order to test the performance of both controllers under extreme ***,the advantages and disadvantages of MPC and RSC under different scenarios are also discussed.

关键词： Trajectory tracking Automated vehicles Model predictive control Robust H∞state feedback control

Pervaporation Recovery of n-butanol from Its Dilute Solution with Natural Rubber/Styrene-butadiene-styrene Blend Membrane

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Journal of Wuhan University of Technology(Materials Science) 2022年第4期37卷 746-752页

作者： SUN Li YU Bo YU Wei tang xiaolin HU Mingjie HUANG Chi College of Chemistry and Molecular Sciences Wuhan UniversityWuhan 430072China Hubei Military-Civilian Integration and Co-Innovation Center of Aerospace Power and Materials Technology Wuhan 430072China

Natural rubber/styrene-butadiene-styrene(NR/SBS)membrane was prepared by solution blend,and then used for recovery of butanol from its dilute solution by pervaporation(PV).The thermodynamic and mechanical properties of NR/SBS blend membrane were characterized by TGA and tensile test,respectively.A layer of relatively dense blend membrane with the thickness of about 37μm was closely cast on a layer of porous polyvinylidene difluoride(PVDF)*** there was no obvious phase separation observed between the interface of two *** flux and separation factor increased with increasing feed *** flux increased as feed concentration increased *** blend membrane which got the best performance obtained membrane separation factor of 28.8 with total flux of 2695.2 g/m^(2)h at 70℃ when feed concentration was 4.00wt%.

关键词： natural rubber styrene-butadiene-styrene butanol pervaporation

Driving Environment Uncertainty-Aware Motion Planning for Autonomous Vehicles

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Chinese Journal of Mechanical Engineering 2022年第5期35卷 301-314页

作者： xiaolin tang Kai Yang Hong Wang Wenhao Yu Xin Yang Teng Liu Jun Li College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing 400044China Tsinghua Intelligent Vehicle Design and Safety Research Institute Tsinghua UniversityBeijing 100084China

Autonomous vehicles require safe motion planning in uncertain environments,which are largely caused by surrounding *** this paper,a driving environment uncertainty-aware motion planning framework is proposed to lower the risk of position uncertainty of surrounding vehicles with considering the risk of ***,a 4-degree of freedom vehicle dynamics model,and a rollover risk index are ***,the uncertainty of surrounding vehicles’position is processed and propagated based on the Extended Kalman Filter ***,the uncertainty potential field is established to handle the position uncertainty of autonomous *** addition,the model predictive controller is designed as the motion planning framework which accounts for the rollover risk,the position uncertainty of the surrounding vehicles,and vehicle dynamic constraints of autonomous ***,two edge cases,the cut-in scenario,and merging scenario are ***,the safety,effectiveness,and real-time performance of the proposed motion planning framework are demonstrated by employing a hardware-in-the-loop experiment bench.

关键词： Position uncertainty Rollover prevention Autonomous vehicles Motion planning Model predictive control

Reinforcement Learning-Based Energy Management for Hybrid Power Systems:State-of-the-Art Survey,Review,and Perspectives

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Chinese Journal of Mechanical Engineering 2024年第3期37卷 1-25页

作者： xiaolin tang Jiaxin Chen Yechen Qin Teng Liu Kai Yang Amir Khajepour Shen Li College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing 400044China School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China Department of Mechanical and Mechatronics Engineering University of WaterlooWaterlooON N2L 3G1Canada School of Civil Engineering Tsinghua UniversityBeijing 100084China

The new energy vehicle plays a crucial role in green transportation,and the energy management strategy of hybrid power systems is essential for ensuring energy-efficient *** paper presents a state-of-the-art survey and review of reinforcement learning-based energy management strategies for hybrid power ***,it envisions the outlook for autonomous intelligent hybrid electric vehicles,with reinforcement learning as the foundational *** of all,to provide a macro view of historical development,the brief history of deep learning,reinforcement learning,and deep reinforcement learning is presented in the form of a ***,the comprehensive survey and review are conducted by collecting papers from mainstream academic *** most of the contributions based on three main directions—algorithm innovation,powertrain innovation,and environment innovation—provides an objective review of the research ***,to advance the application of reinforcement learning in autonomous intelligent hybrid electric vehicles,future research plans positioned as“Alpha HEV”are envisioned,integrating Autopilot and energy-saving control.

关键词： New energy vehicle Hybrid power system Reinforcement learning Energy management strategy

A Boron-based Adhesion Aid for Efficient Bonding of Silicone Rubber and Epoxy Resin

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Journal of Wuhan University of Technology(Materials Science) 2023年第3期38卷 718-724页

作者：王安东 ZHOU Peng tang xiaolin YI Shengping ZENG Qihui ZHANG Zhiqiang HU Mingjie 廖俊黄驰 College of Chemistry and Molecular Sciences Wuhan UniversityWuhan 430072China Hubei Key Laboratory of Advanced Aerospace Propulsion Technology Wuhan 430040China Advanced Technology Research Institute(Jinan) Beijing Institute of TechnologyJinan 250300China

We improved the adhesion between silicon based insulating materials and epoxy resin composites by adding the adhesion promoter cycloborosiloxane(BSi,cyclo-1,3,3,5,7,7-hexaphenyl-1,5-diboro-3,7-disiloxane).The experimental results show that the addition of BSi in the silicone rubber(SR)system significantly increases the tensile shear strength between BSi and epoxy resin(EP),reaching 309%of the original *** this basis,the mechanism of BSi to enhance the adhesion effect was *** electron deficient B in BSi attracted the electron rich N and O in EP to enhance the chemical interaction,combined with the interfacial migration behavior in the curing process,to improve the adhesion *** study provides the design and synthesis ideas of adhesive aids,and a reference for further exploring the interface mechanism of epoxy resin matrix composites.

关键词： boron based adhesion promoter epoxy resin composites silicone rubber adhesion mechanism