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Книги з теми "Electric autonomous vehicles"

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Автор: Grafiati

Опубліковано: 14 березня 2023

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1

Shen, Tunan. Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-36992-7.

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2

Zuev, Sergey, Ruslan Maleev, and Aleksandr Chernov. Energy efficiency of electrical equipment systems of autonomous objects. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1740252.

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When considering the main trends in the development of modern autonomous objects (aircraft, combat vehicles, motor vehicles, floating vehicles, agricultural machines, etc.) in recent decades, two key areas can be identified. The first direction is associated with the improvement of traditional designs of autonomous objects (AO) with an internal combustion engine (ICE) or a gas turbine engine (GTD). The second direction is connected with the creation of new types of joint-stock companies, namely electric joint-stock companies( EAO), joint-stock companies with combined power plants (AOKEU). The energy efficiency is largely determined by the power of the generator set and the battery, which is given to the electrical network in various driving modes. Most of the existing methods for calculating power supply systems use the average values of disturbing factors (generator speed, current of electric energy consumers, voltage in the on-board network) when choosing the characteristics of the generator set and the battery. At the same time, it is obvious that when operating a motor vehicle, these parameters change depending on the driving mode. Modern methods of selecting the main parameters and characteristics of the power supply system do not provide for modeling its interaction with the power unit start-up system of a motor vehicle in operation due to the lack of a systematic approach. The choice of a generator set and a battery, as well as the concept of the synthesis of the power supply system is a problem studied in the monograph. For all those interested in electrical engineering and electronics.

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3

Symposium on Autonomous Underwater Vehicle Technology (1998 Cambridge, Mass.). Proceedings of the 1998 Workshop on Autonomous Underwater Vehicles: AUV '98 : August 20 and 21, 1998, Cambridge, Massachusetts, USA. Piscataway, N.J: IEEE, 1998.

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4

Putnam, Rex G. Jr. A conceptual design of an inertial navigation system for an autonomous submersible testbed vehicle. Monterey, Calif: Naval Postgraduate School, 1987.

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5

Rickenbach, Mark Douglas. Correction of inertial navigation system drift errors for an autonomous land vehicle using optical radar terrain data. Monterey, Calif: Naval Postgraduate School, 1987.

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6

How autonomous vehicles will shape the future of surface transportation: Hearing before the Subcommittee on Highways and Transit of the Committee on Transportation and Infrastructure, House of Representatives, One Hundred Thirteenth Congress, first session, November 19, 2013. Washington: U.S. Government Printing Office, 2014.

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7

Rashid, Muhammad H. Handbook of Power Electronics in Autonomous and Electric Vehicles. Elsevier Science & Technology, 2023.

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8

Shen, Tunan. Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles. Springer Fachmedien Wiesbaden GmbH, 2022.

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9

Rashid, Muhammad H. Handbook of Power Systems in Autonomous and Electric Vehicles. Elsevier Science & Technology Books, 2023.

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10

HAMID, Umar Zakir Abdul. Autonomous, Connected, Electric and Shared Vehicles: Disrupting the Automotive and Mobility Sectors. SAE International, 2022.

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11

Langheim, Jochen. Energy Consumption and Autonomous Driving: Proceedings of the 3rd CESA Automotive Electronics Congress, Paris 2014. Springer, 2015.

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12

Langheim, Jochen. Energy Consumption and Autonomous Driving: Proceedings of the 3rd CESA Automotive Electronics Congress, Paris, 2014. Springer, 2016.

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13

Langheim, Jochen. Energy Consumption and Autonomous Driving: Proceedings of the 3rd CESA Automotive Electronics Congress, Paris, 2014. Springer, 2015.

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14

Institute Of Electrical and Electronics Engineers and IEEE Oceanic Engineering Society. Proceedings of the 1998 Workshop on Autonomous Underwater Vehicles: August 20 and 21, 1998 Cambridge, Massachusetts, USA. Institute of Electrical & Electronics Enginee, 1999.

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15

Amaro Pérez, Andrea, Adrián Suárez Zapata, Pedro A. Martínez Delgado, Abraham Menéndez Márquez, Jorge Victoria Ahuir, and José Torres País. Shielding effectiveness of plastic materials for 5G applications. Editorial Científica 3Ciencias, 2022. http://dx.doi.org/10.17993/ingytec.2022.79.

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The study and modelling of EMC are becoming more critical than ever due to the ubiquitous presence of electronic circuits in all aspects of our lives. Specifically, it is crucial to extend these studies to the new frequencies that, in a few years, will be a reality in modern telecommunications systems, such as 5G and its derived technologies. A specific critical field where the proper EMI shielding has been ensured to avoid EMC problems is the electric autonomous vehicles (EAVs). The huge number of electronics systems in new vehicles will dramatically extend the demands on the EMI shielding solutions used to attenuate the radiated emissions that could affect circuits in the vehicle. Metals or metal alloys are the most common EMI shielding materials since they demonstrate adequate shielding capacity against EMI. However, polymers have become up-and-coming materials for EMI shielding with the characteristics of lightweight, flexibility, cost-effective, easy processing, and resistance to corrosion. Consequently, it is necessary to develop EMI shielding materials based on polymers, plastic materials, and fiber composites that ensure compliance with the different standards that regulate 5G and the proper operation of possible systems susceptible to the intentional and unintended signals generated by this new technology. This contribution focuses on characterizing different composite structures performance based on fibers combined with conductive materials in terms of shielding effectiveness, covering the 5G sub-6 GHz frequency range.

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16

ASME. Print Proceedings of the ASME 2017 InterPack Conference : Volume 1 : Heterogeneous Integration : Micro-Systems with Diverse Functionality; Servers of the Future; Structural and Physical Health Monitoring; Energy Conversion and Storage; Transportation: Autonomous and Electric Vehicles. A S M E Press, 2017.

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17

Kessler, James H. IV. Adaptive modeling of the dynamics of autonomous land vehicles. 1986.

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18

LAND.TECHNIK 2022. VDI Verlag, 2022. http://dx.doi.org/10.51202/9783181023952.

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INHALT Electrical Agricultural Machines Structuring of electrified agricultural machine systems – Diversity of solutions and analysis methods .....1 GridCON2 – Development of a Cable Drum Vehicle Concept to Power 1MW Fully Electric Agricultural Swarms ..... 11 GridCON Swarm – Development of a Grid Connected Fully Autonomous Agricultural Production System ..... 17 Fully electric Tractor with 1000 kWh battery capacity ..... 23 Soil and Modelling The Integration of a Scientific Soil Compaction Risk Indicator (TERRANIMO) into a Holistic Tractor and Implement Optimization System (CEMOS) .....29 Identification of draft force characteristics for a tillage tine with variable geometry ..... 37 Calibration of soil models within the Discrete Element Method (DEM) ..... 45 Automation and Optimization of Working Speed and Depth in Agricultural Soil Tillage with a Model Predictive Control based on Machine Learning ..... 55 Synchronising machine adjustments of combine harvesters for higher fleet performance ..... 65 A generic approach to bridge the gap between route optimization and motion planning for specific guidance points o...

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19

Poulos, Dennis Duane. Range image processing for local navigation of an autonomous land vehicle. 1986.

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20

Chin, Cheng Siong. Intelligent Virtual System for Underwater Vehicle Piloting Using Unity(tm). Taylor & Francis Group, 2020.

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21

Chin, Cheng Siong. Intelligent Virtual System for Underwater Vehicle Piloting Using Unity(tm). Taylor & Francis Group, 2020.

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22

Chin, Cheng Siong. Intelligent Virtual System for Underwater Vehicle Piloting Using Unity(tm). Taylor & Francis Group, 2020.

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23

Intelligent Virtual System for Underwater Vehicle Piloting Using Unity(tm). Taylor & Francis Group, 2020.

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24

Doner, Richard F., Gregory W. Noble, and John Ravenhill. The Political Economy of Automotive Industrialization in East Asia. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197520253.001.0001.

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This book offers a political economy explanation for the striking cross-national differences in strategies and performance among East Asia’s automotive industries. Some countries—China, South Korea, and Taiwan—have successfully pursued “intensive” growth strategies by increasing local value added based on domestic inputs and technological competencies. Malaysia has attempted but failed to pursue this path. In contrast, Thailand has become a champion of “extensive” growth, relying on foreign assemblers and their suppliers to achieve an impressive expansion of production, assembly, and exports. Latecomer Indonesia has followed Thailand with some success, whereas the Philippines has remained an automotive backwater. Through cross-case and within-case analyses of the seven countries, the book argues that variation is a function of the institutional and political contexts in which firms operate. Different strategies require different institutions and institutional capacities. Intensive development is especially institutionally demanding. Effective institutions emerge when political leaders face severe claims on resources (security threats and domestic pressures for welfare improvement) in the absence of easily accessible revenues to satisfy such needs. Brief comparisons with Brazil, Mexico, and other developing countries confirm the utility of the analytic framework. This explanation is superior to neoclassical accounts. It is consistent with but provides more insight than other prominent approaches to development: national innovation systems, global value chains, and developmental states. New challenges facing auto assemblers and suppliers, such as the transition to electric and autonomous vehicles, will call heavily upon the institutional capacities highlighted in this book.

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25

Gregory, Josh. Careers in Artificial Intelligence. Cherry Lake Pub, 2018.

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26

McShea, Robert E. Test and Evaluation of Aircraft Avionics and Weapon Systems. Institution of Engineering & Technology, 2013.

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27

Test and Evaluation of Aircraft Avionics and Weapon Systems. Scitech Publishing, 2014.

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