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Longitudinal Speed Estimation of Multi-axle Distributed Drive Vehicle Based on Federal Kalman Filter

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Longitudinal Speed Estimation of Multi-axle Distributed Driv...

Conference on Vehicle Control and Intelligence (CVCI)

作者： Dongmei Wu Kangqi Du Huan Liu Xing Liu Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Technical Center of Dongfeng Commercial Vehicle Wuhan China

When the wheels of distributed drive vehicle slip, the effectiveness of longitudinal speed estimation based on dynamics model is poor. Therefore, a multi-model fusion estimation method based on Federal Kalman Filter (FKF) is proposed in this paper. In order to tackle the nonlinear problem of vehicle dynamics model, an Extended Kalman Filter (EKF) is used to estimate the longitudinal speed. Additionally, considering the large mismatch between the dynamics model and the real vehicle when the wheels slip, the acceleration and linear Kalman Filter (KF) framework are used to construct a speed estimation algorithm based on kinematics. Then a FKF is designed to fuse both dynamics and kinematics methods. The slip ratio observer is introduced as the information distribution principle of two methods, and information fusion and time update are completed in FKF. After running for a period of time, the fusion result is used to reset the filter of the kinematics method to reduce the accumulated error. Finally, Trucksim/Simulink co-simulation platform is utilized for simulation analysis. Results show that the proposed speed estimation method has good effect and adaptability in the slip condition.

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Research on the Development and Application of Offline Simulation Software for Electric Vehicle Active Sound Design

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Research on the Development and Application of Offline Simul...

Cloud Computing, Big Data Applications and Software Engineering (CBASE), International Conference on

作者： Songze Du Yushu Qian Liping Xie Zhien Lin Tao Huang Automotive Engineering Institute Guangzhou Automobile Group (GAC) Guangzhou China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China College of Mechanical: Engineering & Automation Fuzhou University Fuzhou China

ISBN: (数字)9798331506582

ISBN: (纸本)9798331506599

In recent years, the rise of electric vehicles (EVs) has brought Active Sound Design (ASD) to the forefront as a crucial methodology for enhancing both acoustic quality and the overall driving experience. To address the challenges associated with sound quality design in electric vehicles, an offline simulation software for Active Sound Design (ASD) systems has been developed using the MATLAB platform in this paper, where the vehicle dynamics model and three distinct sound synthesis algorithms have been incorporated into the software, and the formulation and modification of ASD system control strategies can be implemented. The simulations of vehicle operating conditions can be performed, the acoustic performance of the ASD system can be evaluated, and control strategies can be modified expeditiously based on the software developed in this paper. Moreover, the software supports integration with a Digital Signal Processing (DSP) hardware platform, facilitating a seamless closed-loop from sound design to real vehicle application, which contribute to substantially enhance the efficiency of ASD system development. The practical application effect of the software developed are further demonstrated on the electric SUV model, and the results show that the sound of the real vehicle test is the same as that of the software design, which proves its effectiveness and practicability in the active sound design of the vehicle.

关键词： Software design Software algorithms Signal processing algorithms Digital signal processing Electric vehicles Software Mathematical models Acoustics Vehicle dynamics Software engineering

Long-term Unsupervised Prediction of Proton Exchange Membrane Fuel Cells Considering Voltage Recovery

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Long-term Unsupervised Prediction of Proton Exchange Membran...

IEEE Annual Southern Power Electronics Conference (SPEC)

作者： Jiarui Xue Wenchao Zhu Changjun Xie School of Automation Wuhan University of Technology Wuhan China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China

ISBN: (数字)9798350351156

ISBN: (纸本)9798350351163

Predicting degradation behavior is both challenging and essential for the prognosis and health management of proton exchange membrane fuel cells (PEMFCs). This paper considers the voltage recovery phenomenon that occurs during the frequent start-stop cycles of PEMFCs and proposes a voltage recovery (VR) model to calculate and predict the value of voltage recovery. FC1 is used as a reference sample with fully known degradation, while FC2 is considered a cell in the degradation process. A Gate Recurrent Unit (GRU) neural network is employed to learn the mapping relationship between FC1 and FC2 and predict the state of health (SOH) of FC2. Finally, the prediction results from the VR model and the GRU neural network are combined to obtain the final prediction outcome. The proposed hybrid method effectively improves prediction performance by combining the local dynamic characteristics predicted by the VR model with the overall degradation trend predicted by the data-driven method, offering both improved accuracy and practical significance.

关键词： Degradation Protons Accuracy Neural networks Fuel cells Predictive models Market research Data models Power electronics Prognostics and health management

Capacity Optimization of Hybrid Energy Storage System Based on Hysteresis Energy Management Strategy

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Capacity Optimization of Hybrid Energy Storage System Based ...

IEEE Annual Southern Power Electronics Conference (SPEC)

作者： Wenlong Yang Minwang Wang Wenchao Zhu Changjun Xie Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China School of Automation Wuhan University of Technology Wuhan China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan China

ISBN: (数字)9798350351156

ISBN: (纸本)9798350351163

This study improves the hydrogen energy module of the hydrogen-electric coupling system and proposes a hybrid hydrogen storage system structure based on Proton Exchange Membrane Electrolyzer (PEMEL), Alkaline Electrolyzer (ALKEL), and Proton Exchange Membrane Fuel Cell (PEMFC). Considering component startup and shutdown characteristics, dynamic operation, component degradation, and their impact on system reliability, a novel triple-hysteresis energy management strategy is proposed. The comprehensive optimization objectives include minimizing the Levelized Cost of Energy (LCOE), the Loss of Power Supply Probability (LPSP), and the Wind-Solar Curtailment to Load Energy Ratio (WSCLR). The optimal capacity configuration of the hybrid renewable energy system under the new energy management strategy was determined. The performance of the proposed strategy was analyzed and compared over short-term (1 year) and long-term (20 years) operations. The results indicate that the WSCLR of the ALKEL and PEMEL coupled structure is reduced by 83.3% compared to a single ALKEL system, and the LCOE and WSCLR are reduced by 2.1% and 3.5%, respectively, compared to a single PEMEL system. Compared to traditional energy management strategies, the new energy management strategy can reduce the LCOE, WSCLR, and LPSP by 2.7%, 45.0%, and 79.1%, respectively, over a 20-year long-term operation.

关键词： Protons Renewable energy sources System performance Hydrogen Lithium batteries Resource management Reliability Energy management Optimization Hysteresis

Parameter optimization of curing kinetics model of epoxy based on Ant-Lion Optimizer

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Parameter optimization of curing kinetics model of epoxy bas...

IEEE advanced Information technology, Electronic and Automation Control Conference (IAEAC)

作者： Wenbin Zhang Hui Wang Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan China Hubei Research Center for New Energy & Intelligent Connected Vehicle Wuhan University of Technology Wuhan China

ISBN: (数字)9781728180281

ISBN: (纸本)9781728180298

For the sake of accurately obtain the reaction rate constant and reaction order in the curing kinetic model of epoxy resin, aiming at the problem that it is difficult to determine the parameters of the curing kinetic model of epoxy resin, the fitting problem is transformed into a multi-objective optimization problem, the coefficients to be solved are put into a vector into the fitness function, and the ant lion algorithm is used to iteratively optimize the optimal solution vector. Through coarse search and detailed search, the size of solution space is reduced, and the optimal roulette roulette strategy is added to prevent the algorithm from falling into the local optimal solution. Finally, Nash efficiency coefficient was used to test the fitting results. The test results show that the ant lion algorithm has high accuracy and application value in determining the parameters of epoxy resin curing kinetics model.

关键词： Fitting Epoxy resins Curing Kinetic theory Root mean square Information technology Optimization

Control Strategy Analysis of Vehicle Thermal Management System Based on Motor Heat Utilization

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SSRN 2022年

作者： He, Liange Gu, Zihan Zhang, Yan Jing, Haodong Li, Pengpai Key Laboratory of Advanced Manufacture Technology for Automobile Parts Chongqing University of Technology Ministry of Education Chongqing400054 China Guangxi Key Laboratory of Automobile Components and Vehicle Technology Guangxi University of Science and Technology Liuzhou545006 China Chongqing Energy Technology Research Institute Chongqing400054 China

In this work, a heat recovery management system for heat pump air conditioning was proposed and verified by coordinating and controlling vehicle heat dissipation. An one-dimensional vehicle thermal management model was established considering heat pump air conditioning system, motor cooling system, and battery cooling system, and controll strategies. The model was simulated at 0°C, 20°C, and 40°C, respectively and validated by experimental results. The results show that the thermal management system meets the comfort and safety of the electric vehicle in a low-temperature and a high-temperature environments. Compared with no heat recovery system under new European driving cycle (NEDC), the temperature rise rate of the battery increases by 7% from 0°C to 20°C. The temperature rise rate of the cabin increases by 3.7% from 0°C to 18°C. The cooling rate of the battery increases by 2.5% from 40°C to 30°C, and the cooling rate of the cabin increases by 5.3% from 40°C to 23°C. © 2022, The Authors. All rights reserved.

关键词： Temperature control

A Comparative Study of Reduced-Order Methods for Solid Phase Lithium-Ion Transfer Based on Single Particle Model

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SSRN 2023年

作者： Zhu, Guorong Kong, Chun Wang, Jing V. Kang, Jianqiang Wang, Qian School of Automation Wuhan University of Technology Wuhan430070 China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan430070 China

The mass transfer in lithium-ion batteries is a slow dynamic which affects the electrochemical reaction rate in lithium-ion batteries. To find an effective way to describe the mass transfer in lithium-ion batteries, three different solid phase diffusion reduced-order methods based on the single particle model are compared and improved. The discrete-time realization algorithm (DRA) realizes the optimal reduced-order discrete-time approximation for solid phase lithium-ion diffusion with the state-space matrices. The fractional-order padé approximation method (FOM) uses the fractional-order Padé approximation to simplify the solid phase lithium-ion diffusion. The three parameters method (TPM) approximates the solid phase surface lithium-ion concentration change with a three-parameter parabolic function. Simulation results show that TPM gets accurate solid phase surface stoichiometry and cell voltage prediction with low computational complexity. TPM achieves 20.17 mV voltage root mean square error with only 0.0741s to simulate 8000s constant current charge and discharge dynamics. © 2023, The Authors. All rights reserved.

关键词： Lithium-ion batteries

Numerical Study on Convective Heat Transfer Characteristics of Supercritical Nitrogen in a Helical Cruciform Tube

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SSRN 2023年

作者： Fan, Longyu Yu, Qinghua Yu, Ganglin Yan, Fuwu Liu, Xuan Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China Department of Engineering Physics Tsinghua University Beijing100084 China Hubei Key Laboratory of Emergency Safety and Rescue Technology Xiangyang441003 China

The heat transfer of supercritical nitrogen (SCN) is of vital importance to liquid air energy storage, cold energy recovery of liquefied natural gas and thermal management of hypersonic vehicles. This paper proposed a helical cruciform tube (HCT) to enhance the heat transfer of SCN in a tube. Comparative analyses on the flow and heat transfer characteristics of SCN between an HCT and a circular tube (CT) were carried out by numerical simulations. The impacts of operating parameters such as heat flux, mass flow rate, and flow direction on the flow and heat transfer of SCN were explored. It is found that the changing trend of the heat transfer characteristics of the HCT is similar to that of the CT: smaller heat flux or higher mass flow rate increases the heat transfer coefficient, and the buoyancy force inhibits heat transfer in vertically upward flow. However, the numerical results show that the helical construction can promote lateral mixing velocity generation, boost mixing intensity inside the tube, and accordingly enhance heat transfer. The heat transfer coefficient of the HCT is higher than that of the CT before the pseudo-critical temperature point. The average heat transfer coefficient of SCN in the HCT is 4%–13% higher than that in the CT. Theoretical guidance for the design of high-performance SCN heat exchange systems is provided by the aforementioned study findings. © 2023, The Authors. All rights reserved.

关键词： Heat flux

An Empirical Parameter Identification Method for Lifepo4 Battery's Mechanical Model with Hysteresis Effect Considered

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SSRN 2023年

作者： Kang, Jianqiang Wei, Wen Wang, Qian Wang, Jing V. Zhu, Guorong Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan430070 China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan430070 China School of Automation Wuhan University of Technology Wuhan430070 China

Compared with other types of lithium-ion batteries, there is an obvious hysteresis effect in LiFePO4 battery, which leads to inaccurate parameter identification for its mechanical modelling. This article proposes an empirical parameter identification method for the P2D model of LiFePO4 battery, which takes the hysteresis effect into consideration. The proposed method adds a modified zero-state model to describe hysteresis effects during the identification process of lithium intercalation intervals. Simulation results prove that errors of identified parameters under various working conditions are relatively small, and the average relative error is within 0.5%. The proposed method to compensate for hysteresis effect is relatively simple and easy to implement, and can improve the accuracy and generalization ability of the electrochemical model of LiFePO4 batteries. © 2023, The Authors. All rights reserved.

关键词： Lithium compounds