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2022 International Symposium on Electromobility (ISEM)最新文献

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Domain based product architecture approach for innovative battery system design 创新电池系统设计的基于领域的产品架构方法
Pub Date : 2022-10-17 DOI: 10.1109/ISEM55847.2022.9976814
Kampker Achim, H. Heimes, C. Offermanns, Konstantin Sasse, Moritz H. Frieges, Benedikt Späth
Battery engineering faces several challenges in product development process. Due to wide variety of components and functional correlations in a battery system, a novel approach is needed to structure and simplify the product architecture. The aim is to present an abstract product architecture as a tool for further product specific evaluations and developments. State of the art batteries in automotive industry are structured into a breakdown of three levels from battery pack, battery module and battery cell. This publication provides a new approach based on the deficits of consisting product and functional structures to enable a generic method for future battery design approaches. These could be cell-to-x architectures where battery modules might be substituted and their functions are overtaken by other components.
电池工程在产品开发过程中面临着诸多挑战。由于电池系统中各种各样的组件和功能相关性,需要一种新的方法来构建和简化产品架构。其目的是呈现一个抽象的产品架构,作为进一步产品特定评估和开发的工具。汽车工业中最先进的电池分为电池组、电池模块和电池单元三个层次。本出版物提供了一种基于组成产品和功能结构缺陷的新方法,为未来的电池设计方法提供了通用方法。这些可能是cell-to-x架构,其中电池模块可能被替代,其功能可能被其他组件取代。
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引用次数: 0
Model–Based Actuated Vertical Control of Ground Vehicles with Non-Negligible Roll Dynamics 基于模型的不可忽略滚转动力学地面车辆垂直控制
Pub Date : 2022-10-17 DOI: 10.1109/ISEM55847.2022.9976776
Riccardo Cespi, R. Galluzzi
Controllable vehicle suspensions have gained research and industrial interest in recent years, as they offer favorable adaptability of the chassis to different driving and road conditions. Classical suspension control strategies are simple but effective. They are mainly based on simplified models— the quarter car—to address the effects of heave motion as a decoupled degree of freedom from other contributions. In transient conditions, however, body heave motion might be influenced by roll. Specifically, steering maneuvers and road unevenness could induce heave-roll coupling effects. The objective of this paper is to propose a nonlinear, model-based control strategy able to improve vertical dynamics performance, even in the presence of non-negligible chassis roll. To give means for analysis, this approach is compared to a standard skyhook controller. It is shown that the proposed strategy outperforms its skyhook counterpart in terms of comfort (chassis vertical acceleration) and actuator command effort (output force).
近年来,可控汽车悬架的研究和工业应用受到广泛关注,因为它能使底盘对不同的驾驶和道路条件具有良好的适应性。经典的悬架控制策略简单而有效。它们主要基于简化模型-四分之一汽车-来解决升沉运动的影响,作为与其他贡献解耦的自由度。然而,在瞬态条件下,机体的升沉运动可能受到横摇的影响。具体来说,转向机动和路面不平整会引起纵摇耦合效应。本文的目标是提出一种非线性的、基于模型的控制策略,即使在存在不可忽略的底盘滚动的情况下,也能改善垂直动力学性能。为了给出分析的方法,将这种方法与标准的天钩控制器进行比较。结果表明,该策略在舒适性(底盘垂直加速度)和致动器指令力(输出力)方面优于天钩策略。
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引用次数: 0
Electromobility Capstone Design Projects 电动汽车顶点设计项目
Pub Date : 2022-10-17 DOI: 10.1109/ISEM55847.2022.9976689
P. Orta, Pedro Urbina-Coronado, H. Ahuett-Garza
Students have the opportunity to apply their knowledge and skill to solve the capstone design projects. This paper presents a series of capstone projects developed over the past years related to electromobility. First, a literature review of engineering education in electromobility is done. Then, there is a description of the companies involved in the Electric Bus project. A summary of the projects developed in the Electric Bus is described. Also, electromobility projects related to battery pack design are presented. Finally, from this experience, lessons learned and conclusions are presented.
学生有机会运用他们的知识和技能来解决顶点设计项目。本文介绍了过去几年来与电动汽车相关的一系列顶点项目。首先,对电动汽车工程教育进行了文献综述。然后,介绍了参与电动巴士项目的公司。概述了在电动客车开发的项目。此外,还介绍了与电池组设计相关的电动汽车项目。最后,根据这一经验,提出了经验教训和结论。
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引用次数: 0
Interval state estimation for bounded noise and its applications 有界噪声的区间状态估计及其应用
Pub Date : 2022-10-17 DOI: 10.1109/ISEM55847.2022.9976732
Wang Jianhong, R. Ramírez-Mendoza, Zhang Yunfeng
Consider the problem of state estimation in identification and control theory, the traditional Kalman filter method and its modified forms can estimate the unknown state only on the condition of probabilistic distribution on external noise, such as white noise or colored noise. To relax this strict condition on external noise, interval state estimation is proposed to achieve the goal in case of the unknown but bounded noise, due to external noise with unknown but bounded property is more realistic then white noise. Given one state space form with bounded noises and bounded initial state, two intervals are constructed to include the state estimation and output prediction respectively through our own derivations. One easy way to determine the terminate state estimation is to choose the center of midpoint of the constructed interval. The equivalent property between interval state estimation and our previous zonotope state estimation is also described.
考虑到辨识与控制理论中的状态估计问题,传统的卡尔曼滤波方法及其改进形式只能在外部噪声(如白噪声或彩色噪声)的概率分布条件下估计未知状态。为了放宽这种对外部噪声的严格要求,在存在未知但有界噪声的情况下,由于具有未知但有界性质的外部噪声比白噪声更真实,因此提出了区间状态估计来实现这一目标。给定一种具有有界噪声和有界初始状态的状态空间形式,通过我们自己的推导,分别构造了包含状态估计和输出预测的两个区间。确定终止状态估计的一种简便方法是选择构造区间的中点中心。本文还描述了区间状态估计与分区状态估计的等价性。
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引用次数: 0
ISEM 2022 Cover Page ISEM 2022封面页
Pub Date : 2022-10-17 DOI: 10.1109/isem55847.2022.9976723
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引用次数: 0
Bounded Gradient Attitude Control of a Quadcopter 四轴飞行器的有界梯度姿态控制
Pub Date : 2022-10-17 DOI: 10.1109/ISEM55847.2022.9976766
Jesse Kyle G. G, J. Díaz-Téllez, J. Estevez-Carreon, J. Peréz-Peréz, R. Mendoza-Vazquez, M.A. Rosales-Carreón
This paper deals with the problem of attitude control of a VTOL Quadrotor UAV. The mathematical model of the UAV has added endogenous and exogenous disturbances. In addition, loss of efficiency modelling in the actuators, noise and bias through time-varying multiplicative and additive actuator faults have been added. A control methodology based on the potential energy gradient of the aircraft is designed using a Lyapunov function. Through this control methodology, different control algorithms can be developed. Control actions are bounded, and global asymptotic stability is demonstrated. Numerical simulations illustrate the effectiveness of the pro-posed control law.
研究了垂直起降四旋翼无人机的姿态控制问题。无人机的数学模型中加入了内源性和外源性干扰。此外,还增加了执行器效率建模的损失、时变乘性和加性执行器故障引起的噪声和偏置。利用李亚普诺夫函数设计了一种基于飞机势能梯度的控制方法。通过这种控制方法,可以开发出不同的控制算法。控制动作是有界的,并证明了全局渐近稳定性。数值仿真验证了所提控制律的有效性。
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引用次数: 0
Automotive Embedded Image Classification Systems 汽车嵌入式图像分类系统
Pub Date : 2022-10-17 DOI: 10.1109/ISEM55847.2022.9976661
Adán Medina, Pedro Ponce, R. Ramírez-Mendoza
Electric vehicles are becoming more autonomous, so they must classify images using embedded systems and advanced classification methodologies to achieve a fast response when navigating. Thus, studying and analyzing classification algorithms and embedded systems is a mandatory endeavor to improve the performance of electric vehicles during their operation. On the other hand, artificial intelligence is one of the leading technology topics in autonomous electric vehicles; however, the computational requirements to analyze a large amount of data in real-time would mean having costly and powerful computers on board. Also, this can mean using a significant physical space in the vehicle and energy resources. An embedded system can handle the necessary data to classify standard traffic signals on the road so the principal processor can be released from these tasks. This paper proposes a traffic signal object detector and classifier that is implemented using a Tiny YOLOv4 and compares Frames Per Second obtained in an embedded system using the trained model, a web camera, and a Hardware Accelerator called Movidius Neural Stick by Intel are integrated into the proposed solution. The results show that the proposal is a good alternative for implementing a specialized image classification system into an embedded digital system for electric vehicles. This proposal could be extended to classify more images that can show up on a conventional road.
电动汽车正变得越来越自动化,因此它们必须使用嵌入式系统和先进的分类方法对图像进行分类,以在导航时实现快速响应。因此,研究和分析分类算法和嵌入式系统是提高电动汽车运行性能的必要工作。另一方面,人工智能是自动驾驶电动汽车的主要技术主题之一;然而,实时分析大量数据的计算需求将意味着船上有昂贵而强大的计算机。此外,这可能意味着在车辆中使用大量的物理空间和能源资源。嵌入式系统可以处理必要的数据来对道路上的标准交通信号进行分类,这样主处理器就可以从这些任务中解脱出来。本文提出了一种使用Tiny YOLOv4实现的交通信号目标检测器和分类器,并将使用训练模型的嵌入式系统中获得的帧每秒进行比较,并将网络摄像头和英特尔公司的硬件加速器Movidius Neural Stick集成到该解决方案中。结果表明,该方案是在电动汽车嵌入式数字系统中实现专用图像分类系统的一个很好的替代方案。这个提议可以扩展到对更多可以出现在传统道路上的图像进行分类。
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引用次数: 0
Design of an Advanced Driver Assistance System -Fuel Consumption Estimation 一种先进驾驶辅助系统的设计——油耗估算
Pub Date : 2022-10-17 DOI: 10.1109/ISEM55847.2022.9976743
J. Lozoya-Santos, J. Tudón-Martínez, Andrés M. Suárez Padilla, Adán Sáenz Herrera, Alfonso Silva Torres, L. Félix-Herrán, Y. Davizón, Alejandro Said, C. Hernández-Santos
Driver assistance systems (DAS) seek to provide relevant information for decision-making in favor of passenger safety, the driving experience and the efficient use of resources. The use of advanced DAS or ADAS is becoming increasingly important and is an area of research with great potential. The contribution of this work is the complete design and validation of an ADAS to estimate fuel consumption, according to certain scenarios. An architecture is proposed as well as the hardware and software for the reading of signals, the data transportation through the ADAS system and their correct storage and processing to obtain results that contribute to decision making. The contribution includes the design of a human-machine interface in a smartphone application and the use of a professional simulator (Dynacar) to validate the preliminary performance of the ADAS. This work could be the baseline for more complex ADAS implementations towards a more resource-efficient and safer driving experience.
驾驶员辅助系统(DAS)旨在为乘客安全、驾驶体验和有效利用资源的决策提供相关信息。先进的DAS或ADAS的使用变得越来越重要,是一个具有巨大潜力的研究领域。这项工作的贡献是ADAS的完整设计和验证,以根据某些场景估计燃料消耗。提出了一种信号读取、数据传输、正确存储和处理的系统架构和硬件、软件,以获得有助于决策的结果。贡献包括在智能手机应用程序中设计人机界面,并使用专业模拟器(Dynacar)来验证ADAS的初步性能。这项工作可能成为更复杂的ADAS实现的基础,以实现更高效的资源和更安全的驾驶体验。
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引用次数: 0
E-Axle Effect on the Vibratory Response of a Vehicle 电动轴对车辆振动响应的影响
Pub Date : 2022-10-17 DOI: 10.1109/ISEM55847.2022.9976546
S. Puma-Araujo, R. Galluzzi, L. Félix-Herrán, C. S. Díaz-Choque, R. Ramírez-Mendoza
Vehicle suspension systems are responsible for absorbing and filtering road irregularities to provide passenger safety and ride comfort. However, different vehicle and suspension parameters can affect the vibratory response. Consequently, vibrational analysis with different types of transmission is necessary. Furthermore, the electrification of the automotive chassis leads to the necessity of understanding the effects of introducing electric machines. This work analyzes the vibratory effect of changing a differential axis for an e-axle. This research presents a study on a half car model and body roll mode with different e-axles compared to a standard differential axle. Thus, changes concerning comfort, e-axle oscillation, and handling are considered in the time and frequency domains. In addition, a parametric sensitivity study is performed. The obtained results could be applied as design guidelines when sizing an e-axle solution.
车辆悬架系统负责吸收和过滤道路不规范,以提供乘客安全和乘坐舒适性。然而,不同的车辆和悬架参数会影响振动响应。因此,有必要对不同类型的传动进行振动分析。此外,汽车底盘的电气化导致有必要了解引入电机的影响。本文分析了换差速轴对电子轴振动的影响。本研究提出了一个研究半汽车模型和车身滚动模式与不同的电子轴与标准差动桥的比较。因此,在时域和频域中考虑了有关舒适性、e轴振荡和操纵的变化。此外,还进行了参数敏感性研究。所得结果可以作为设计指导时,尺寸的电子轴解决方案。
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引用次数: 0
Sensor fusion for vehicle odometry and path tracking: a ROS simulation 用于车辆里程计和路径跟踪的传感器融合:ROS仿真
Pub Date : 2022-10-17 DOI: 10.1109/ISEM55847.2022.9976548
Diego Osorio-Sanchez, H. Gonzalez-Hernandez
Autonomous vehicles are an emerging area with many problems without a definitive solution. One of these problems is the vehicle’s pose estimation which until these days is still an open problem. On this research we propose a sensor fusion strategy that estimates a vehicle’s position and orientation, this algorithm is used for the higher level tasks of trajectory generation and path following. The Visual Odometry (VO) algorithms that were tested during the research are ORB SLAM2. We have used Kalman filters as sensor fusion algorithm. The main odometry algorithm was designed in order to function with a GPS, VO, IMU, steering sensor and a speed sensor. The proposed strategy was tested in simulation using ROS and Gazebo as a prior stage of an experimental setup. This proposal impacts positively in economic and computational costs reduction with respect to traditional Visual-lidar approaches.
自动驾驶汽车是一个新兴领域,存在许多问题,没有明确的解决方案。其中一个问题是飞行器的姿态估计直到今天这仍然是一个悬而未决的问题。在这项研究中,我们提出了一种传感器融合策略来估计车辆的位置和方向,该算法用于更高级别的轨迹生成和路径跟踪任务。在研究中测试的视觉里程计(VO)算法是ORB SLAM2。我们采用卡尔曼滤波作为传感器融合算法。为了配合GPS、VO、IMU、转向传感器和速度传感器,设计了主要的里程计算法。采用ROS和Gazebo作为实验设置的前一阶段,对所提出的策略进行了仿真测试。与传统的视觉激光雷达方法相比,该方案在经济和计算成本降低方面产生了积极的影响。
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引用次数: 0
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2022 International Symposium on Electromobility (ISEM)
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