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A Mode-Switching Soot Load Observer for automotive Particulate Filters

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A Mode-Switching Soot Load Observer for Automotive Particula...

Conference on Vehicle control and Intelligence (CVCI)

作者： Xiangxue Lin Yunfeng Hu Linlin Jiang Xun Gong Yao Sun State Key Laboratory of Automotive Simulation and Control College of Telecommunications Engineering Jilin University Changchun China FAW-Volkswagen Technology Center Changchun China State Key Laboratory of Automotive Simulation and Control College of Artificial Intelligence Jilin University Changchun China State Key Laboratory of Automotive Simulation and Control College of Automotive Engineering Jilin University Changchun China

In automotive particulate filter applications, accurate real-time soot load is critical to filter regeneration, which significantly affects vehicle safety and economics. Based on the modified soot accumulation and filter pressure drop characteristics, equations of state and measurement have been deduced, and a corresponding novel Luenberger observer is developed. Due to the limitations of the differential pressure sensor, the deviation of its measurement value is small at small exhaust flow rates and can not reflect the soot load. To figure out this issue, a mode-switching strategy is proposed to schedule the correction gain according to the exhaust flow rate. A co-simulation platform has been built to validate the observer, which adopts GT-Power as the test vehicle. Compared with the open-loop observer under single and multiple NEDC cycles, the mode-switching observer shows some improvement, and the maximum deviation is reduced from 0.58g/L to 0.1g/L. Thus, by reducing the times of regenerations, fuel consumption can be saved about 8%. Finally, the proposed observer shows better robustness when a disturbance occurs, the maximum deviation still maintain a low level of about 0.25g/L.

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Optimal Design and Analysis of Refrigerant-Based Cold Plate for Electric Vehicle Thermal Management System to Save Energy

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SSRN 2024年

作者： Gao, Xue Gao, Qing State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130025 China College of Automotive Engineering Jilin University Changchun130025 China

In this paper, a novel refrigerant-based cold plate with a variable-area runner structure design is proposed for thermal management of lithium-ion batteries in electric vehicle. Numerical simulations are used to investigate the impacts of the runner structural parameters and flow boiling parameters on the cold plate's performance, and these are compared with a conventional cold plate featuring constant-area runners. The findings indicate that the heat transfer characteristics of small-size square runners are equivalent to those of circular tubes. In two-phase flow, the runner structural parameters have a significant influence on energy consumption and a minor influence on battery cooling effectiveness. Conversely, flow boiling parameters play a critical role in the battery cooling effect. Furthermore, the designed cold plate structure is a compromise in terms of thermal characteristics, energy characteristics, and lightweight index. The new cold plate design concept results in a 13.5% decrease in energy consumption compared to the original cold plate. © 2024, The Authors. All rights reserved.

关键词： Lithium-ion batteries

Rnbformer: A High-Performance Roadside Noise Barriers Recognition Algorithm 24

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Rnbformer: A High-Performance Roadside Noise Barriers Recogn...

3rd Asia Conference on Algorithms, Computing and Machine Learning, CACML 2024

作者： Zhang, Zirui Wu, Jiaheng Huang, Heqiang Chen, Junzhou Hu, Hongyu Zhang, Ronghui Guangdong Provincial Key Laboratory of Intelligent Transportation System School of Intelligent Systems Engineering Sun Yat-Sen Uniyersity Guangdong Guangzhou510275 China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun Jilin Changchun130022 China

ISBN: (纸本)9798400716416

Traffic noise pollution is a significant source of urban pollution. Roadside noise barriers (RNBs) serve as a primary solution to urban traffic noise pollution, but achieving precise positioning of RNBs requires on-site inspections and manual labeling, which is time-consuming and labor-intensive. Deploying an RNB recognition algorithm on inspection vehicles equipped with cameras and positioning devices is an efficient approach to establishing a high-precision RNB positioning database. We propose a high-accuracy RNB recognition algorithm, RNBFormer. In the model design, we integrate both convolutional and transformer structures to enhance the model's global feature extraction capability while optimizing the representation of local features. Additionally, we incorporate a channel attention mechanism to provide more discriminative features at the channel level. We trained and tested our model on a publicly available dataset, achieving a classification accuracy of 98.93%. © 2024 ACM.

关键词： Convolution

Uncertainty and Sensitivity Analysis of Electrical-Thermal Performance in Module Consisting of Parallel-Connected Batteries

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SSRN 2024年

作者： Liu, Hongkai Li, Ming Wang, Yuncong College of Automotive Engineering Jilin University Changchun130025 China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130025 China

An accurate calculation of electrical-thermal performance is a precondition for module consisting of parallel-connected batteries design. This paper develops a method that takes into account the polarization effect when calculating the current distribution in parallel-connected batteries. A Monte Carlo technique is employed to confirm the probability distribution of five electrical-thermal performance indices, considering the uncertainty in battery capacity and direct current (DC) resistance due to manufacturing tolerance. The sensitivity of capacity, DC resistance and connector plate resistance are discussed at various charge rates and number of batteries using two sensitivity methods. The results indicate that most indices have approximately 50% probability of being higher or lower due to uncertainty parameters. The connector plate resistance is the dominant sensitivity factor and its minimization is preferable. At charge rate 1C, lower capacity and DC resistance for the last battery in 10 parallel-connected batteries can improve charge uniformity. Meanwhile, increasing capacity and DC resistance of the first battery will be beneficial to electrical performance, whereas decreasing them will improve its thermal performance. Furthermore, adjusting the capacity and DC resistance of the first and last batteries during module assembly can reduce the uncertainty in electrical-thermal performance by approximately 28.57% to 77.77%. © 2024, The Authors. All rights reserved.

关键词： Uncertainty analysis

Optimal Design and Analysis of Refrigerant-Based Cold Plate for Electric Vehicle Thermal Management System to Save Energy

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SSRN 2024年

作者： Gao, Xue Gao, Qing State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130025 China College of Automotive Engineering Jilin University Changchun130025 China

关键词： Lithium-ion batteries

Feedback-Linearization Decoupling Based Coordinated controll of Air Supply and Thermal Management for Vehicular Fuel Cell System

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SSRN 2024年

作者： Zeng, Xiaohua Song, Dafeng Wu, Qingtao Zhang, Xuanming Qian, Qifeng College of Automotive Engineering Jilin University Changchun130025 China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130025 China

The coordinated control of the coupled system of air supply and thermal management is one of the important ways to improve the efficiency of proton exchange membrane fuel cell (PEMFC) system. The novelty of this paper is to design a feedback-linearization decoupling based coordinated controller combining with active disturbance rejection control (ADRC) method. Aiming at strong coupling of air supply and thermal management system, we have proposed a three-dimensional particle swarm coordinated optimization algorithm to calculate the steady-state reference, then, a feedback-linearization decoupling controller is designed to achieve independent control of air flow, cathode pressure and temperature. Besides, aiming at time-varying, nonlinear interference, we have designed an ADRC based on the decoupled method to achieve better dynamic response and *** current step load test reveals that the overshoot and the average tracking error are much smaller under the air flow-pressure-temperature decoupling coordinated controller compared that under the proportional-integral-derivative (PID) controller and the air flow-pressure decoupling controller. The test results under different ambient temperatures indicate that the proposed coordinated strategy reduces the tracking error by over 10%, the efficiency of fuel cell system is increased by 3.5%–4.5%. © 2024, The Authors. All rights reserved.

关键词： Temperature control

Adhesive surface-enhanced Raman scattering Cu-Au nanoassembly for the sensitive analysis of particulate matter

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Journal of Environmental Sciences 2023年第6期128卷 35-44页

作者： Ning Wang Zhiqiang Gan Fengkui Duan Hui Chen Chensheng Ma Jie Ji Zhenli Sun MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

Surface-enhanced Raman scattering(SERS)has been used in atmospheric aerosol detection as it enables the high-resolution analysis of particulate ***,its use in the detection of historical samples without damaging the sampling membrane while achieving effective transfer and the high-sensitivity analysis of particulate matter from sample films remains *** this study,a new type of SERS tape was developed,consisting of Au nanoparticles(NPs)on an adhesive double-sided Cu film(DCu).The enhanced electromagnetic field generated by the coupled resonance of the local surface plasmon resonances of AuNPs and DCu led to an enhanced SERS signal with an experimental enhancement factor of 10^(7).The AuNPs were semi-embedded and distributed on the substrate,and the viscous DCu layer was exposed,enabling particle *** substrates exhibited good uniformity and favorable reproducibility with relative standard deviations of 13.53%and 9.74%respectively,and the substrates could be stored for 180 days with no signs of signal *** application of the substrates was demonstrated by the extraction and detection of malachite green and ammonium salt particulate *** results demonstrated that SERS substrates based on AuNPs and DCu are highly promising in real–world environmental particle monitoring and detection.

关键词： Surfaced-enhanced Raman scattering Particulate matter Adhesive plasmonic coupling Electromagnetic enhancement

A Green Wave Traffic Strategy Design for Energy-saving control of Intelligent Connected Vehicle Using MPC Framework

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A Green Wave Traffic Strategy Design for Energy-saving Contr...

第43届中国控制会议

作者： Hanyu Yang Qifang Liu Dongzi Li Shuyou yu School of Communication Engineering Jilin University The State Key Laboratory of Automotive Simulation and Control (ASCL)

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

In this paper,an energy-saving driving method of automatic transmission fuel vehicle under multi-traffic lights is *** the multi-traffic light section in the city,a traffic light green wave selection method is first transformed into a single traffic light traffic problem,the corresponding speed constraint is calculated,and the problem is transformed into a cruise problem with speed *** vehicle energy consumption and engine torque into account,the model predictive control(MPC) is used to solve the problem,and the sub-optimal solution was *** green wave selection algorithm can achieve 96% of the energy saving effect of the global optimization *** with the global optimization solution time,this method will greatly reduce the solution time and complete the purpose of real-time optimization.

关键词： Green wave traffic Speed optimization Model predictive control Autonomous vehicles

Surface‑Alloyed Nanoporous Zinc as Reversible and Stable Anodes for High‑Performance Aqueous Zinc‑Ion Battery

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Nano-Micro Letters 2022年第8期14卷 58-71页

作者： Huan Meng Qing Ran Tian-Yi Dai Hang Shi Shu-Pei Zeng Yong-Fu Zhu Zi Wen Wei Zhang Xing-You Lang Wei-Tao Zheng Qing Jiang Key Laboratory of Automobile Materials(Jilin University) Ministry of EducationSchool of Materials Science and Engineeringand Electron Microscopy CenterJilin UniversityChangchun 130022People’s Republic of China State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130022People’s Republic of China

Metallic zinc(Zn)is one of the most attractive multivalent-metal anode materials in post-lithium batteries because of its high abundance,low cost and high theoretical ***,it usually suffers from large voltage polarization,low Coulombic efficiency and high propensity for dendritic failure during Zn stripping/plating,hindering the practical application in aqueous rechargeable zinc-metal batteries(AR-ZMBs).Here we demonstrate that anionic surfactant-assisted in situ surface alloying of Cu and Zn remarkably improves Zn reversibility of 3D nanoporous Zn electrodes for potential use as high-performance AR-ZMB anode *** a result of the zincophilic ZnxCuy alloy shell guiding uniform Zn deposition with a zero nucleation overpotential and facilitating Zn stripping via the ZnxCuy/Zn galvanic couples,the self-supported nanoporous ZnxCuy/Zn electrodes exhibit superior dendrite-free Zn stripping/plating behaviors in ambient aqueous electrolyte,with ultralow polarizations under current densities up to 50 mA cm^(‒2),exceptional stability for 1900 h and high Zn *** enables AR-ZMB full cells constructed with nanoporous ZnxCuy/Zn anode and K_(z)MnO_(2)cathode to achieve specific energy of as high as~430 Wh kg^(‒1)with~99.8%Coulombic efficiency,and retain~86%after long-term cycles for>700 h.

关键词： Nanoporous metal Zinc-based alloy anode Aqueous zinc-ion batteries Surface alloying