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5th International Conference on Material Science and Technology, ICMST 2025

作者： Chen, Wanghai Zhu, Jie Wang, Xue Luo, Hao Wang, Ying Li, Jinghua Dou, Yanli Li, Quanming College of Materials Science and Engineering Jilin University Changchun130015 China National Key Laboratory of High-End Vehicle Integration and Control China FAW Group Co. Ltd. Changchun130013 China

ISBN: (纸本)9781510691742

Inspired by the exceptional adhesion properties of mussels, basalt fibers (BF) were modified with polydopamine (PDA) and incorporated into polypropylene (PP) resin to develop high-performance composites. A comprehensive investigation was conducted to evaluate how basalt fiber concentration and polydopamine treatment influence the structural performance of composite materials. Experimental data demonstrate substantial enhancement in mechanical characteristics corresponding to higher fiber loading levels. When basalt fiber loading reaches the optimal 6wt% concentration, the composite demonstrates substantial mechanical enhancement, exhibiting 120.2%, 282.2%, and 66.2% improvement in tensile, flexural, and impact resistance respectively, relative to neat polypropylene. Additionally, polydopamine surface treatment provides further reinforcement of these structural characteristics. When contrasted with the unmodified composites that have 6wt% BF, the PDA - modified composites demonstrate further enhancements. Specifically, the tensile strength increases by 16.1%, the flexural strength goes up by 9.3%, and the impact strength rises by 22%. © 2025 SPIE. All rights reserved.

关键词： Tensile strength

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Kriging-assisted valid-screening optimization (KVSO) to study optimal steering strategies for multi-struts aircraft

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Aerospace Science and Technology 2025年 162卷

作者： Shi, XiaZheng Nie, Hong Zhang, Ming Gui, XiWen Zheng, YuTing Xu, YuHan Hu, TianYang State Key Laboratory of Mechanics and Control for Aerospace Structures College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China

During ground maneuvering of multi-strut aircraft (MSA), certain main landing gears (MLGs) require steering capabilities to coordinate with the nose landing gears (NLGs) for minimizing steering radius and maintaining stability. Inappropriate MLG steering angles may lead to tire sideslip and potential aircraft rollover in extreme cases. This article presents a Kriging-assisted valid-screening optimization (KVSO) method for predicting optimal steering strategies of MSA under complex constraints, determining optimal coordination angles for the MLGs. The proposed method first introduces a penalty-based pre-screening filter (PBPF) mechanism that selects samples by comprehensively evaluating multiple constraint violations, thereby enhancing the algorithm's optimization efficiency. Subsequently, a valid constraint screening (VCS) mechanism, based on normal distribution principles, is proposed to reduce computational costs. Furthermore, a region of interest sampling surrogate model update mechanism is developed based on the constraint boundary sampling (CBS) criterion. This mechanism constructs high-precision surrogate models for both optimization objective regions and constraint boundaries, thus accelerating global optimization convergence. The effectiveness of the proposed method is validated through two engineering case studies. The results demonstrate superior computational efficiency and optimization accuracy in resolving the optimal steering strategy for MSA. This method provides theoretical foundations for MLGs steering angle design. © 2025 Elsevier Masson SAS

关键词： Normal distribution

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A method for battery health estimation under variable operating conditions based on the fusion of simplified electrochemical model and alpha evolution-back propagation model

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Journal of Energy Storage 2025年 123卷

作者： Shan, Runzhe Wang, Yaxuan Wang, Chao Cui, Yue Guo, Shilong Jiang, Yunfeng Wang, Qiwei Zhao, Lei Rong, Changru Li, Junfu Wang, Zhenbo State Key Laboratory of Space Power-Sources MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage MOE Engineering Research Center for Electrochemical Energy Storage and Carbon Neutrality in Cold Regions School of Chemistry and Chemical Engineering Harbin Institute of Technology Heilongjiang Harbin150001 China School of Automotive Engineering Harbin Institute of Technology at Weihai Shandong Weihai264209 China National Key Laboratory of Advanced Vehicle Integration and Control China FAW Grp Co Ltd Jilin Changchun130013 China

In recent years, research on the state of health (SOH) estimation of lithium-ion batteries under variable operating conditions receives widespread attention. Data-driven methods for SOH estimation of lithium-ion batteries often lack interpretability and reliability. This study proposes a novel model-data hybrid-driven approach that combines a simplified electrochemical model with an α-evolution-back propagation model to accurately predict SOH under variable operating conditions. The exponential-trigonometric optimization algorithm is applied for the first time to effectively identify parameters of the simplified electrochemical model, extracting more reliable and interpretable features throughout the full lifecycle of lithium-ion batteries. The alpha evolution algorithm is employed to optimize the initial parameters of the back propagation neural network, using features based on model parameters identified under variable operating conditions as inputs to the alpha evolution-back propagation model for SOH estimation. The proposed method is validated on three self-constructed datasets under variable operating conditions. The results show that the prediction accuracy exceeds 99.5 %, with the highest accuracy approaching 99.9 %. The training and testing dataset partitioning criteria used in this study hold significant practical relevance, aligning well with the requirements of using historical data to predict SOH degradation of retired lithium-ion batteries under predefined scenarios for their cascade utilization. This method provides valuable insights for enhancing the safety of cascade utilization of retired batteries. © 2025 Elsevier Ltd

关键词： Lithium-ion batteries

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A Novel Battery RUL Prediction Approach Based on Probabilistic Hyperparameter Optimization 16

A Novel Battery RUL Prediction Approach Based on Probabilist...

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16th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2024

作者： Wang, Ziqi He, Hongwen Zhao, Xuyang Gong, Sikai Zhou, Zhiqiang Beijing Institute of Technology National Engineering Laboratory for Electric Vehicles National Key Laboratory of Advanced Vehicle Integration and Control Beijing China

ISBN: (纸本)9798350386127

The remaining useful life (RUL) of lithium-ion batteries, a pivotal metric for assessing battery performance and service life, is not amenable to direct measurement. To refine the precision of estimating the remaining useful lifespan for battery systems, this paper proposes a prediction method based on the Bayesian optimization algorithm for Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) neural networks. The research utilized the battery dataset provided by the MIT Stanford Toyota Research Institute. The method first preprocesses the battery data, selecting key health indicators (HI) through the Pearson correlation coefficient, and then estimates the RUL of the battery using LSTM and GRU networks. In order to augment the efficacy of the RUL estimation model, this paper applies Bayesian optimization technology to determine the optimal hyperparameters, thereby saving time required for model prediction. © 2024 IEEE.

关键词： Long short-term memory

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Battery State of Health Estimation for Real-world vehicles Based on Ensemble Learning 16

Battery State of Health Estimation for Real-world Vehicles B...

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16th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2024

作者： Wang, Haoyu He, Hongwen Wang, Pei Geng, Yiteng Guo, Xuncheng National Engineering Laboratory for Electric Vehicles Beijing China National Key Laboratory of Advanced Vehicle Integration and Control Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350386127

Lithium-ion batteries (LIBs) are important energy storage components for new energy vehicles. Accurately estimating the State of Health (SOH) of LIBs ensures the safe and reliable operation of the power battery. Addressing the challenges of poor data quality, intricate sampling information, and incomplete battery cycles in real-world vehicle data, this paper proposes a pioneering SOH estimation method based on Light Gradient Boost Machine (LGBM) ensemble learning during charging process. A data preprocessing and operating condition reconstruction method is designed to streamline battery operating conditions and enhance overall data quality. The charging segments are extracted, and an aging features extraction method suitable for real-world vehicle data is proposed as well as high-value health indicators are selected using correlation analysis. The Bayesian optimization algorithm is employed to efficiently search for the optimal hyperparameters of the model, and comparisons and validations with other modeling algorithms and optimization methods and the estimation results on different vehicles are also carried out. The results show that LGBM method with Bayesian optimization algorithm achieves an overall superior estimation performance with the mean absolute percentage error limited within 2.71 % and exceptional computational efficiency. © 2024 IEEE.

关键词： State of charge

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Towards Safety: A Dual-Mode Tracking control on Roads for the Flying Automobile with Limited Preview Information 8

Towards Safety: A Dual-Mode Tracking Control on Roads for th...

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8th CAA International Conference on Vehicular control and Intelligence, CVCI 2024

作者： Liu, Mengke Li, Dan Lv, Ying Guo, Hongyan Cao, Yuntao Liu, Qiuzheng China Faw Group .Ltd National Key Laboratory of Advanced Vehicle Integration and Control Changchun China Jilin University State Key Laboratory of Automotive Simulation and Control Changchun China

ISBN: (纸本)9798331504892

Tracking control on roads of autonomous and connected flying automobiles (ACFA), is critical for safety, particularly in emergencies. In these situations, the ACFA must either generate its trajectory in real-time (for instance, to execute an evasive maneuver if an obstacle is detected) or obtain trajectory data from external sources. Generally, the ACFA receives this trajectory information as GPS time samples. However, the feedback control scheme must compensate for the ACFA's lateral speed data, which is not directly accessible. In this paper, we propose a dual-mode approach to design a tracking control scheme for an ACFA, which is achieved through three steps: (1) Using limited preview information from GPS waypoint samples, we calculate the trajectory's radii of curvature with 'least-square' estimation, (2)we design a linear model predictive control(MPC) with Kalman filter (KF) for high tracking performance, and(3) When high-level control fails, by using errors as the position, heading, and heading rate we design a feedback control strategy with a fixed structure to track the desired trajectory by calculating stabilizing gains. The effectiveness of the proposed methods is demonstrated through virtual simulation results. © 2024 IEEE.

关键词： Feedback control

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Multidisciplinary design optimization of adaptive wing leading edge

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Science China(Technological Sciences) 2013年第7期56卷 1790-1797页

作者： SUN RuJie CHEN GuoPing ZHOU Chen ZHOU LanWei JIANG JinHui State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle Nanjing University of Aeronautics and Astronautics

Adaptive wing can significantly enhance aircraft aerodynamic performance, which refers to aerodynamic and structural opti-mization designs. This paper introduces a two-step approach to solve the interrelated problems of the adaptive leading edge. In the first step, the procedure of airfoil optimization is carried out with an initial configuration of NACA 0006. On the basis of the combination of design of experiment (DOE), response surface method (RSM) and genetic algorithm (GA), an adaptive air-foil can be obtained whose lift-to-drag ratio is larger than the baseline airfoil's at the given angle of attack and subsonic *** next step is to design a compliant structure to achieve the target airfoil shape, which is the optimization result of the previous step. In order to minimize the deviation of the deformed shape from the target shape, the load path representation topology method is presented. This method is developed by way of GA, with size and shape optimization incorporated in it simul-taneously. Finally, a comparison study with the Solid Isotropic Material with Penalization (SIMP) method in Altair OptiStruct is conducted, and the results demonstrate the validity and effectiveness of the proposed approach.

关键词： adaptive wing multidisciplinary design optimization aerodynamic optimization structural optimization genetic algorithm

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Parameter Optimization of Nose Landing Gear Considering Both Take-off and Landing Performance of Catapult Take-off Carrier-Based Aircraft

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Transactions of Nanjing University of Aeronautics and Astronautics 2016年第2期33卷 187-198页

作者： Zhang Ming Nie Hong He Zhihang Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle Nanjing University of Aeronautics and Astronautics State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics

Optimization of the parameters of landing gear systems with double-stage air springs of catapult take-off carrier-based aircraft is here studied based on the mathematical equations of the classic dual mass spring-damper dynamic *** standards for both take-off and landing performance are put *** contradictory factors between take-off and landing processes are *** optimization of oil in the pin area and the area near the rear oil hole is *** these optimized parameters are used to assess the influence of the initial pressure of the low chamber,the ratio of the high chamber to the low chamber,and the tire inflation pressure on the performance of arresting landing and catapult *** influences of these parameters on carrier-based aircraft and the aircraft-carrier on aircraft catapult take-off is also *** on the results of the simulation,respective take-off criteria must be drafted considering different types of aircraft and different take-off load cases,all of which must be matched to parameters relevant to catapult take-off.

关键词： carrier-based aircraft buffer performance fast-extension performance aircraft design optimization sensitivity analysis

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Bifurcation analysis of dual-sidestay landing gear locking performance considering joint clearance

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Chinese Journal of Aeronautics 2022年第7期35卷 209-226页

作者： Kui XU Yin YIN Yixin YANG Hong NIE Xiaohui WEI State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016China Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle Nanjing University of Aeronautics and AstronauticsNanjing 210016China

Sidestay lock mechanism is an important part of landing gear system,and the locking performance can be analyzed based on changes in its ***,during numerical continuation analysis of fully-rigid dual-sidestay landing gear without clearance,it has been found that the appearance of bifurcation points does not necessarily imply that both sidestay links can be locked *** problem reveals the limitations of fully-rigid model with ideally-articulated in solving dual-sidestay mechanisms with extremely high motion ***,this study proposes a bifurcation analysis method for synchronous locking of dual-sidestay landing gears,which takes into consideration the joint *** in-depth analysis of this problem,we initially build kinematic and mechanical models of a landing gear mechanism that consider joint ***,the models are solved based on *** fundamental causes of synchronous locking are discussed in detail,and the number of bifurcation points is found to be closely related to whether the landing gear is completely ***,the effects of structural parameters on the synchronous locking are analyzed,and the feasible region of parameters satisfying synchronous locking condition is given,which agrees well with the test results.

关键词： Bifurcation Clearance Dual-sidestay landing gear Numerical continuation Synchronous locking

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Optimization design containing dimension and buffer parameters of landing legs for reusable landing vehicle

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Chinese Journal of Aeronautics 2022年第3期35卷 234-249页

作者： Bo LEI Ming ZHANG Hanyu LIN Hong NIE Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle Nanjing University of Aeronautics and AstronauticsNanjing 210016China State Key Laboratory of Mechanics and Control of Mechanical Structure Nanjing University of Aeronautics and AstronauticsNanjing 210016China

For the landing legs with single air chamber in the buffer structure of the reusable landing vehicle,the geometric topological models and the dynamic model associated with the hard points of the landing legs are *** geometric constraint relationship in the design of the landing legs is also *** whole vehicle dropping test is conducted,and the test results agree well with that of the simulation model,which validates the dynamic *** on the verified model,the effect of hard point positions on the performance of the landing system is *** multidisciplinary collaborative optimization algorithm and archive-based micro genetic algorithm(CO-AMGA)are used to optimize the design parameters that contain the hard points and the *** with artificial iteration,the maximum landing impact acceleration response of the vehicle and the buffer struct maximum force are reduced by 30.70%and 14.51%respectively,and the maximum length of retractable pillar decreases by 8.54%while the design margin increases by 69.11%.The proposed optimization method is efficient and can greatly facilitate the design of landing legs.

关键词： Dynamics Impact test Landing system Optimization design Reusable landing vehicle

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