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Research on motor thermal control in hybrid vehicles 3

Research on motor thermal control in hybrid vehicles

引用

3rd international conference on Advanced Manufacturing Technology and Manufacturing Systems, ICAMTMS 2024

作者： Jing, Junchao Zhao, Fucheng Chen, Jialu Liu, Yiqiang Dai, Zhengxing Liu, Shuiming Ningbo Geely Royal Engine Components Co. Ltd. Zhejiang Ningbo China

ISBN: (纸本)9781510681804

In order to address the issue of motor temperature in hybrid transmission vehicles during uphill acceleration with a heavy load, we conducted a comprehensive analysis on the impact of acceleration on motor temperature rise. Firstly, this study investigates the causes of excessive heat generation in the motor under high torque load, as well as the primary factors contributing to heat production. Secondly, we implemented various calibration strategies to mitigate overheating issues during high torque acceleration. Finally, optimized calibration and real-world vehicle testing were performed for comparison. The test results demonstrate that this calibration method effectively resolves the problem of excessive thermal load during heavy load uphill conditions while also enhancing drivability. © 2024 SPIE.

关键词： Hybrid vehicles

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RESEARCH ON VEHICLE SPEED control METHOD BASED ON SPATIOTEMPORAL DATA AND VEHICLE-ROAD-CLOUD COOPERATION 3

RESEARCH ON VEHICLE SPEED CONTROL METHOD BASED ON SPATIOTEMP...

引用

3rd international conference on Mechanical, Aerospace and Automotive engineering, CMAAE 2023

作者： Liu, Weiguo Xiang, Zhiyu Zhang, Ke Li, Zhenxian Wang, Zixu School of Information and Electronic Engineering Zhejiang University Beijing China National Intelligent Connected Vehicle Innovation Center Beijing China

ISBN: (纸本)9781839539954

Predictive Cruise control (PCC) is an optimal control method for managing vehicle speed and gears, particularly suitable for Heavy-Duty Vehicles (HDV). Traditional PCC systems can only achieve suboptimal vehicle speed planning within a short prediction range. The development of intelligent connected vehicles based on vehicle-to-vehicle and vehicle-to-infrastructure communication provides new directions for optimizing PCC systems. This paper proposes a spatiotemporal data-driven framework for Vehicle-Road-Cloud Cooperation vehicle speed control, achieving optimal control of vehicle speed. To address limitations such as limited perception range of individual vehicles and insufficient road traffic information, a spatiotemporal data fusion network model is introduced based on the aforementioned framework. The simulation experiment results demonstrate that within a 5-second speed prediction range, the model proposed in this paper consistently achieves the lowest Mean Absolute Error (MAE) among various validation paths compared to other models. The error range is between 2.19 and 4.10 km/h. Furthermore, the model accurately predicts the acceleration or deceleration trends of the speed curve. © The Institution of engineering & Technology 2023.

关键词： Optimal control systems

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A Multi-Layer Long Short-Term Memory Neural Network on Battery State-of-Health Estimation with Transfer Learning 3

A Multi-Layer Long Short-Term Memory Neural Network on Batte...

引用

3rd IEEE international conference on Industrial Electronics for Sustainable Energy Systems, IESES 2023

作者： Tian, Jilun Zhang, Jiusi Jiang, Yuchen Luo, Hao Huang, Congsheng Chow, Mo-Yuen Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China National Taipei University of Technology Department of Electrical Engineering Taipei10608 Taiwan North Carolina State University Department of Electrical and Computer Engineering RaleighNC27606 United States

ISBN: (纸本)9798350324754

Due to the important part of batteries in industrial systems, its safety analysis has causes widespread attention from researchers, and its effective maintenance decision-making is needed. Data-driven state-of-health (SOH) estimation can provide useful information by monitoring historical data during the aging process, but it can be failed in the cross-domain scenarios due to the different data distributions. To tackle this issue, we propose a long short-term memory (LSTM) neural network with an additional fully connected dense as a basic predictor, and apply the pretrain and fine-tuning training algorithm to realize the high-performance prediction. By validated in two real-world datasets, we find that blindly expanding the training set may have a negative impact on model accuracy, and the proposed TL-LSTM can achieve a great performance under the cross-domain tasks. © 2023 IEEE.

关键词： Long short-term memory

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Adaptive Koopman-Based Models for Holistic controller and Observer Design 3

Adaptive Koopman-Based Models for Holistic Controller and Ob...

引用

3rd Modeling, Estimation and control conference (MECC)

作者： Junker, Annika Pape, Keno Timmermann, Julia Traechtler, Ansgar Paderborn Univ Heinz Nixdorf Inst Paderborn Germany

ISBN: (纸本)9781713872344

We present a method to obtain a data-driven Koopman operator-based model that adapts itself during operation and can be straightforwardly used for the controller and observer design. The adaptive model is able to accurately describe different state-space regions and additionally consider unpredictable system changes that occur during operation. Furthermore, we show that this adaptive model is applicable to state-space control, which requires complete knowledge of the state vector. For changing system dynamics, the state observer therefore also needs to have the ability to adapt. To the best of our knowledge, there have been no approaches presently available that holistically use an adaptive Koopman-based plant model for the state-space design of both the controller and observer. We demonstrate our method on a test rig: controller and observer adequately adapt during operation, so that outstanding control performance is achieved even in the case of strong occuring systems changes. Copyright (c) 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： data-based control adaptive control time-varying systems predictive control

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Platoon Stability for Cooperative Adaptive Cruise control Systems with Communication Delay

Platoon Stability for Cooperative Adaptive Cruise Control Sy...

引用

robotics, Automation and Intelligent control (ICRAIC), international conference on

作者： Chunsun Duan Weiwei Yu Shiyuan Han Yuling Fan School of Information Sciences and Engineering Unviersity of Jinan Jinan China Shandong Big Data Center Jinan China School of Information Science and Engineering University of Jinan Quancheng Laboratory Jinan China

The platoon stability problem of Cooperative Adaptive Cruise control (CACC) system with wireless network communication delay is discussed in this paper. From the unidirectional strong coupling characteristics standpoint, the longitudinal system model problem for platoon vehicles equipped with CACC functionality is formulated as the constraints of large-scale discrete interconnected systems with communication delay and correlation properties, in which each vehicle can be set as a control center. After that, by using the partial decomposition method, a large scale systems with strong coupling is divided into the subsystems with unidirectional decoupling. Thus the stability of CACC system for platoon vehicles under communication delay is proved, and the upper limit of communication delay of the platoon is obtained based on Lyapunov function and linear matrix inequality. Finally, simulation analysis demonstrate that the feasibility of the proposed stability results of CACC system with communication delay and vehicle correlation characteristics.

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ACC System Design and Simulation Verification of Intelligent Vehicle 3rd

ACC System Design and Simulation Verification of Intelligent...

引用

3rd international conference on Information control, Electrical engineering, and Rail Transit, ICEERT 2023

作者： Zhou, Yiyang Feng, Jialiang Liu, Yiqun School of Automotive Engineering Harbin Institute of Technology Weihai264209 China Yangtze River Delta HIT Robot Technology Research Institute Wuhu241007 China

ISBN: (纸本)9789819788903

The Adaptive Cruise control system can assist the driver to adjust the size of the vehicle throttle opening and the pressure of the brake pedal to achieve the vehicle's following cruise. In this paper, the hierarchical control scheme is selected in the design of ACC system. The upper control system is based on the vehicle safety distance model built by the headway strategy to obtain the expected safety distance. Then, through the MPC algorithm, the discrete state space model of longitudinal following is established, and the system performance index and constraints are established. The problem is transformed into a constrained quadratic programming problem, and the expected acceleration of the vehicle is calculated. The lower control system constructs the vehicle longitudinal dynamics model, builds the engine reverse power model and the inverse model of the braking system, and determines the driving and braking conversion logic to realize the acceleration and deceleration of the vehicle. After that, using Carsim and MATLAB/Simulink for joint simulation verification, it can be concluded that the designed ACC system can realize the functions of following cruise. It can complete acceleration and deceleration to the target speed in a short time, and ensure that the acceleration is small to meet the comfort requirements, reduce traffic accidents, and improve vehicle driving safety and comfort. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adaptive cruise control

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AI-Enabled Prediction of Wind Speed and Temperature with Multiverse Optimization for Efficient control of Standalone Hybrid System 3

AI-Enabled Prediction of Wind Speed and Temperature with Mul...

引用

3rd IEEE international conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Biswal, Ananya Pritilagna Roy, Krishna Ghosh, Arnab Nit Rourkela Dept. of Electrical Engineering Odisha India

ISBN: (纸本)9798350319972

Instead of going for one renewable source for improved efficiency and stability, hybridization of energy sources is demonstrated. The main objective of the work is to do analysis of different perspectives of Hybrid Renewable Energy Storage Systems (HRESS) like, power architectures, mathematical modelling and power electronic converter topology and design optimization algorithms. Non-conventional energy sources like solar and wind play the vital role for improved energy production. Different power converters with proper control strategies are illustrated to maintain the Direct Current (DC) link voltage irrespective of any dynamic changes. For achieving minimum fluctuations from the output of renewable energy conversion system wind speed and temperature forecasting are done with machine learning. Using various regression techniques, with the prediction of wind speed and temperature the model accuracy is improved. Uninterrupted power supply is ensured by using battery. Maximum power extraction from Photo Voltaic (PV) is taken care by Maximum Power Point Tracking (MPPT) algorithm. Wind Energy Conversion System (WECS) works at its maximum efficiency with Permanent Magnet Synchronous Generator (PMSG) coupled to the wind turbine (WT). For proper power management power converters like boost converter and bidirectional DC-DC converter are controlled with Proportional Integral (PI) controllers. For controlling the parameters of PI along with conventional techniques, nature inspired optimization techniques are also implemented. The comparative analysis is also done with various algorithms. LC filters are installed to ripple out the unwanted components from the output voltage. The simulation of the model is verified using MATLAB/Simulink and steady state performance is analyzed. © 2023 IEEE.

关键词： Wind turbines

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An Experimental Study and Sensitivity Analysis of Design Parameters of Building Integrated Photovoltaic (BIPV) Roofs for Rain Noise Reduction 1

引用

3rd international Civil engineering and Architecture conference, CEAC 2023

作者： Chen, Dingqiu Shi, Shaohang Tianjin University Nankai District No. 92 Weijin Road Tianjin China GuangDong Bright Dream Robotics Co. Ltd Bijiao Town Shunde District Panpu Road Guangdong Foshan China Tsinghua University Haidian District No. 30 Shuangqing Road Beijing China Haidian District No. 30 Shuangqing Road Beijing China

ISBN: (数字)9789819963683

ISBN: (纸本)9789819963676

Building integrated photovoltaic (BIPV) roof performance in different types of buildings has attracted the attention of architects and engineers in recent years—sound reduction of lightweight buildings is a typical scenario. Laboratory experiments with artificial rain (rainfall intensity: 2 mm/min) were conducted to investigate the sound insulation performance of a lightweight BIPV roof;in addition, sensitivity analysis was conducted for five design parameters, including floor area, room height, length to width ratio of room (LWR), air temperature and atmospheric pressure intensity (310 cases in total). The results show that the A-weighting sound pressure level (LIA) ranges from 18.25 dB to 29.01 dB, with LWR having the greatest effect (decrease of 10.76 dB) on rain noise reduction and air temperature having the least effect (decrease of 0.70 dB). The data and analysis presented in this study can provide a reference for the performance evaluation of BIPV technology, so as to create a healthy and comfortable indoor acoustic environment through parameter optimization design. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Roofs

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Comparative Analysis of control Schemes for Fuel Cell System 3rd

Comparative Analysis of Control Schemes for Fuel Cell System

引用

3rd international conference on Information Technology, InCITe 2023

作者： Saman, Sadia Tayal, Vijay Kumar Amity University Uttar Pradesh UP Noida India

ISBN: (纸本)9789819959938

The fuel cell systems are highly suitable for trucks, boats and other electric vehicle applications. The nonlinear behavior of a fuel cell adversely affects its output. In this paper, three control schemes namely proportional integral (PI), integral and proportional integral derivative (PID) control are proposed for output improvement of a fuel cell system. In order to supply dynamically varying power demand, a DC-DC boost converter is developed to achieve the preferred DC output. The proposed PEMFC-based energy system's MATLAB/SIMULINK model is designed to judge the PEMFC's output regulation. The best settling time and least overshoot are achieved with PI control scheme. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.

关键词： Proton exchange membrane fuel cells (PEMFC)

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Dynamic Positioning of a Ship using Disturbance Observer based Sliding Mode control 3

Dynamic Positioning of a Ship using Disturbance Observer bas...

引用

3rd IEEE international conference on Recent Advances in Systems Science and engineering, RASSE 2023

作者： Srivastava, Nikhil Samantaray, Jagannath Chakrabarty, Sohom Indian Institute of Technology Roorkee Department of Electrical Engineering Uttarakhand Roorkee247667 India

ISBN: (纸本)9798350341676

Dynamic positioning (DP) systems play a crucial role in controlling the position and heading of vessels using their own propulsion systems. These systems are extensively utilized for precise maneuvering of marine crafts and sea-going vessels during slow-speed movements and high-seas operations. However, environmental disturbances such as wind, waves, and ocean currents can cause deviations from the desired track, hindering maritime operations. To address these challenges, an effective and robust control technique is required to maintain the heading and orientation of vessels. This research focuses on the application of two different types of disturbance observer (DO) based controllers for DP systems. First, a DO is designed to estimate the external disturbance affecting the dynamics of a ship. Then a sliding mode controller (SMC) with DO is designed for the DP system. However, the classical SMC suffers from chattering, prompting the use of a higher order sliding mode (HOSM) controller with DO for the DP system. The control techniques based on DO contribute to the reduction of control effort while simultaneously improving system robustness. Both control approaches are simulated in MATLAB/Simulink® environment. Then the results of both approaches are compared both qualitatively and quantitatively. The study aims to evaluate the performance of these controllers and assess their effectiveness in maintaining precise vessel positioning and heading in the presence of environmental disturbances. © 2023 IEEE.

关键词： Sliding mode control

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