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High-Porosity, Layered Iridium Oxide as an Efficient, Durable Anode Catalyst for Water Splitting

CCS Chemistry 2025年第1期7卷 216-228页

作者： Zhoubing Xie Xiao Liang Zhenye Kang Yongcun Zou Xiyang Wang Yimin A.Wu Graham King Qi Liu Yalan Huang Xiao Zhao Hui Chen Xiaoxin Zou State Key Laboratory of Inorganic Synthesis and Preparative Chemistry College of ChemistryJilin UniversityChangchun 130012 State Key Laboratory of Marine Resource Utilization in South China Sea Hainan Provincial Key Lab of Fine ChemistrySchool of Chemical Engineering and TechnologyHainan UniversityHaikou 570228 Department of Mechanical and Mechatronics Engineering Waterloo Institute for NanotechnologyUniversity of WaterlooWaterlooOntario N2L 3G1 Canadian Light Source Saskatoon SK S7N 2V3 Department of Physics City University of Hong KongHong Kong 999077 School of Materials Science and Engineering Key Laboratory of Automobile Materials of MOEState Key Laboratory of Automotive Simulation and ControlElectron Microscopy CenterJilin UniversityChangchun 130012

Lowering iridium(Ir)loading without sacrificing activity and durability is critical to the future development of proton exchange membrane water electrolyzer(PEMWE).Here,we present the synthesis of iridate-derived,layered iridium oxide microparticles(dubbed p-L-IrO_(2))with a high open porosity of approximately 74%and their structural advantages for the fabrication of efficient,durable,low-Ir-loading anode catalytic layer in *** p-L-IrO_(2) material is synthesized by an easily scalable route involving acid treatment of alkali metal salt-templated iridates that form in mixed alkali metal nitrateshydroxides at low *** combination of high-porosity morphology and layered structure in the material preferentially exposes a high density of hydroxylated edge sites,which are catalytically active and stable to achieve the oxygen evolution reaction via a structurally hydroxyl group-participated adsorbate evolution *** material is further demonstrated to enable the fabrication of low-Ir-loading anode catalytic layers in PEMWE,which can afford excellent catalytic performance(2.7 A cm^(−2)@1.9 V@80℃;membrane:Nafion^(TM)N115)due to the simultaneous reduction of activation and mass transport losses and retention of catalytic activity for 2300 h at 1.0 A cm^(−2) current density.

关键词： electrocatalysis water splitting iridium porous materials PEM electrolyzer

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Technology developing state and trend about advanced driving assistance system and calculating chip

Technology developing state and trend about advanced driving...

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Science and Technology Innovation (IAECST), International Academic Exchange Conference on

作者： Wei Zhang Jiawei Tang Ministry of Industry and Technology Equipment Development Center Bei Jing China State Key Laboratory of Automotive Dynamic Simulation and Control Jilin University Chang Chun China

Based on the investigation of the production and sales of complete vehicles equipped with driving assistance system (ADAS) in 2020, as well as the current situation analysis and prediction of the market penetration of the main functions of ADAS, this paper puts forward that 2022-2025 will be the window period for the rapid development of auxiliary driving vehicles. Through the investigation of the development of main safety technologies of ADAS and the overview of the current situation of auxiliary driving functions, this paper analyzes the reasons for the supply interruption of vehicle specification chip supply chain and the current situation of production capacity in recent one year, and puts forward that vehicle and parts enterprises, including government departments, should rethink the industrial chain layout of automobile chips in the next five years, so as to promote the commercialization of domestic auxiliary driving vehicles (equipped with ADAS) as soon as possible.

关键词： Technological innovation Supply chains Layout Government Production Market research Safety

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A Two-Layer Trip Chain Model for Commuting Electric Vehicles 4

A Two-Layer Trip Chain Model for Commuting Electric Vehicles

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

作者： Yu, Deyi Huang, Xueqi Yuan, Xinmei Jilin University State Key Lab. of Automotive Simulation and Control Changchun China Saic Motor Passenger Vehicle Co. Ltd Shanghai China

ISBN: (纸本)9781728171494

Due to the requirements of future sustainable transportation, the number of electric vehicles is increasing rapidly in recent years. The increased electric vehicle charging requirements have put pressure on local distribution networks, but also provide opportunities for the utilization of those flexible energy storage resources. And modeling electric vehicle driving and charging behavior is the key to estimate the charging load and further explore the potential of providing grid services. Therefore, the modeling of driving and charging behavior of electric vehicles is widely focused and different trip chain models have been proposed. However, the lack of sufficient real-world data is often the greatest barrier to the implementation of these models. In this paper, a two-layer trip chain model for commuting electric vehicles is proposed, where the bottom-layer model is similar to conventional trip chain models, but its parameters are generated from top-layer model. By introducing structured distributions of the bottom-layer model parameters to top layer model, only simple survey data are required for the model calibration;therefore, the data requirements of trip chain model are largely reduced. The driving and charging behaviors of commuting electric vehicles related to an office building are simulated, and the results show the feasibility of the proposed method. © 2021 IEEE.

关键词： Electric vehicles

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Economic Comparison of Photovoltaic Energy Storage Systems for Different Load Profiles: A Case Study

Economic Comparison of Photovoltaic Energy Storage Systems f...

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Power System and Green Energy Conference (PSGEC)

作者： Jianling Huang Fanzhuo Meng Mingyue Jiao Sichuan Energy Internet Research Institute Tsinghua University Chengdu P.R. China State Key Lab. of Automotive Simulation and Control Jilin University Changchun China

Photovoltaic energy storage systems(PV ESS), which use energy storage to address the intermittent nature of PV, have been developed to utilize PV more efficiently to lower grid carbon emissions and to mitigate the peak load pressure of distribution network. Due to the significant temporal impact of photovoltaic, the operation of photovoltaic energy storage systems might highly related to the temporal characteristics of the given load profile; however, there is lack of research on the economic impact of the load profiles on the photovoltaic energy storage systems. To fill this gap, an economic comparison is conducted to evaluate the cost-benefit of photovoltaic energy storage systems for different load profiles from a perspective of large industrial consumers in this paper. A method for sizing the capacity of photovoltaic and energy storage based on a given load profile is proposed, and an economic evaluation model considering the cost-benefit of the investment and operation of photovoltaic and energy storage system, as well as the reduction of distribution transformer capacity is proposed. The proposed model is implemented to two typical load profiles in a case study, and the results show the importance of load shapes for matching PV energy storage systems.

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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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Deep learning based velocity prediction with consideration of road structure

Deep learning based velocity prediction with consideration o...

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Conference on Vehicle control and Intelligence (CVCI)

作者： Pengyu Fu Liang Chu Zhuoran Hou Jiaming Xing Jianbing Gao Chong Guo State Key Lab of Automotive Dynamic Simulation and Control Jilin University Jilin China Institute of Transportation System University of Leeds Leeds UK

ISBN: (纸本)9781665408486

Speed prediction of roads is an important part of intelligent transportation system(ITS). Due to the complexity of the traffic environment, the speed of road is not only related to the historical speed of this road, but also has a strong relationship with the adjacent roads. In recent years, with the development and application of various data acquisition devices, a large amount of real-time traffic status information can be obtained. In this paper, we propose a road speed prediction method based on deep learning. Firstly, the method extracts the spatial correlation between the target road and the adjacent roads by convolutional neural networks(CNN). Secondly, long short-term memory(LSTM) is used to obtain the temporal correlation of the data and effectively capture the nonlinear features in the traffic speed sequence. Finally, a multilayer perceptron(MLP) is used to combine the spatio-temporal features. In this paper, the prediction accuracy of the model is evaluated on a real traffic dataset. Compared with traditional statistical methods and advanced deep learning methods, the speed prediction model in this paper obtains a more accurate prediction performance.

关键词： Deep learning Correlation Statistical analysis Roads Transportation Predictive models Nonhomogeneous media

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Comparative analysis of battery diagnostic methodologies considering parameter learning process 4

Comparative analysis of battery diagnostic methodologies con...

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

作者： Qin, Weiyan Sun, Wei Yuan, Xinmei Xiao, Wei Li, Shangyu Su, Jianhua Xie, Zihan Jilin University State Key Lab. of Automotive Simulation and Control Changchun China Sichuan Energy Internet Research Institute Department of New Energy Vehicle and Energy Storage Chengdu China

ISBN: (纸本)9781728171494

With the continuously growing number of electric vehicles, the safety of electric vehicle battery systems has received wide attention. The threshold parameter learning of the data-based battery diagnosis methods highly affects the algorithm performance but is seldom discussed. In this paper, two commonly used fault diagnosis methods, 3σ multi-level screening method and LOF algorithm are compared to evaluate the fault detection performance, and the learning of the threshold parameters are particularly discussed. The results further address the importance of threshold parameter learning for the performance evaluation of battery diagnosis methods. © 2021 IEEE.

关键词： Fault detection

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Study of Cracking Mechanism and Wear Resistance in Laser Cladding Coating of Ni-based Alloy

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Chinese Journal of Mechanical Engineering 2021年第5期34卷 259-272页

作者： Zhenglei Yu Lunxiang Li Deqiang Zhang Guangfeng Shi Guang Yang Zezhou Xu Zhihui Zhang Key Lab of Bionic Engineering Ministry of EducationJilin UniversityChangchun 130022China State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130022China College of Mechanical and Electric Engineering Changchun University of Science and TechnologyChangchun 130022China College of Mechanical Engineering and Automation Liaoning University of TechnologyJinzhou 121001China Key Laboratory of Fundamental Science for National Defense of Aeronautical Digital Manufacturing Process Shenyang Aerospace UniversityShenyang 110136China

Nickel-based alloy coatings were widely used for the remanufacturing of dies and moulds by laser cladding,but the crack sensitivity would be increase due to the higher strength and hardness,which reduced the wear resistance of Ni-based *** this paper,Ni-based coatings with the addition of a plastic phase(an austenitic stainless net)were prepared using laser cladding technology,and the CeO_(2)was added in cladding *** cracking mechanism,microhardness,microstructure,phase composition,and wear properties were *** relationship between thermal stress and the elastic and plastic fracture had been developed from the standpoint of fracture mechan-ics and thermal elastic fracture *** fracture criterion of the nickel-based coating was obtained,and the study has shown that the crack sensitivity could be reduced by decreasing the thermal expansion coefficientΔα.Thus,a new method was proposed,which the stainless steel nets were prefabricated on the *** was found that the number of cracks reduced significantly with the addition of stainless steel *** the stainless steel net with 14 mesh was added in Ni-based coatings,the average microhardness of nickel composite coating was 565 HV_(0.2),which was 2.6 times higher than that of the 45 steel *** the rare earth oxide 4 wt.%CeO_(2)and stainless steel net were added in the Ni-based coating reducing the microhardness(the average microhardness is 425 HV_(0.2)),the wear resistance of it improved *** wear volume of Ni-based composite coating was 0.56×10^(−5) mm^(3)·N^(−1)·m^(−1),which was 85.1%lower than that of 45 *** experiment results have shown that the Nickel-based composite coating is equipped with low crack sensitivity and high abrasive resistance with austenitic stainless net and the rare earth oxide 4 wt.%*** research offers an efficient solution to produce components with low crack susceptibility and high wear-resistance coatings fabricated

关键词： Laser cladding Wear resistance Crack sensitivity Stainless steel net Rare earth oxide

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Evaluation on Total Cost of Ownership of Electric Forklifts with lithium-ion battery 4

Evaluation on Total Cost of Ownership of Electric Forklifts ...

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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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