Energy Impacts of Autonomous Vehicles - Present and the Future

iEnergy Pub Date : 2024-06-01 DOI:10.23919/IEN.2024.0012
Kaushik Rajashekara
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Abstract

A number of research papers including several review papers have reported that autonomous vehicles (AVs) consume a significant amount of power to run the onboard computers that do all the calculations needed to process and analyze the significant amount of data. In addition, there is a substantial amount of power consumption by onboard sensors including radars, cameras, Lidars, etc. [1] The resulting power consumption results in range reduction in electric autonomous vehicles. This in-turn increases the emissions based on how the electricity is obtained for charging these vehicle batteries. As the degree of automation moves up the ladder of AVs, the complexity of the overall control, management, and the associated tasks grow exponentially, and hence increasing the power consumption. The Society of Automotive Engineers (SAE) defines 6 levels of driving automation ranging from Level 0 (fully manual) to Level 5 (fully autonomous). Level 0 is no driving automation and the driver is responsible for full control of the vehicle. Level 1 is the driver assisted by a support system like adaptive cruise control or lane-changing assistance, but the driver must remain engaged. In Level 2, the vehicle can perform multiple automated functions, such as braking, accelerating, and steering, through advanced driving assistance systems (ADAS), but the driver must actively supervise the vehicle's operation. The Level 3 vehicle can manage all aspects of driving, but the driver still needs to be present in case of an emergency or system failure to override the automation. In Level 4, the vehicle operates autonomously but is limited by speed or to a certain location. The human override is still an option. Level 5 is full driving automation, which can operate autonomously in all driving scenarios and under any conditions, without geographic or speed limitations. At this level, human interaction is reduced to merely setting the destination. The levels of automated vehicles currently in market mostly are Levels 1 and 2. Mercedes-Benz offers Level 3 autonomous driving in its S-Class and EQS models. Few other companies including Audi, BMW, and Tesla are planning to soon market the Level 3 vehicles. Levels 3 and 4 are currently being deployed for testing in a few cities in limited areas. Level 5 will hopefully be someday in the future.
自动驾驶汽车对能源的影响--现在与未来
包括几篇综述论文在内的许多研究论文都报告说,自动驾驶汽车(AV)需要消耗大量电力来运行车载计算机,这些计算机要进行处理和分析大量数据所需的所有计算。此外,包括雷达、摄像头、激光雷达等在内的车载传感器也会消耗大量电能。这反过来又会增加排放量,因为这些车辆电池的充电电力是如何获得的。随着自动驾驶汽车自动化程度的提高,整体控制、管理和相关任务的复杂性也呈指数级增长,从而增加了耗电量。美国汽车工程师学会(SAE)定义了从 0 级(完全手动)到 5 级(完全自主)的 6 个自动驾驶级别。0 级没有自动驾驶,驾驶员负责完全控制车辆。第 1 级是驾驶员在自适应巡航控制或变道辅助等辅助系统的协助下进行驾驶,但驾驶员必须保持参与。在第 2 级,车辆可通过高级驾驶辅助系统(ADAS)执行多种自动功能,如制动、加速和转向,但驾驶员必须积极监督车辆的运行。3 级车辆可以管理驾驶的所有方面,但在发生紧急情况或系统故障时,驾驶员仍需在场,以覆盖自动驾驶功能。在第 4 级中,车辆可以自动运行,但受到速度或特定地点的限制。仍然可以选择由人控制。第 5 级是完全的自动驾驶,可以在所有驾驶场景和任何条件下自动运行,不受地理或速度限制。在这一级别中,人机交互减少到仅仅设定目的地。目前市场上的自动驾驶汽车主要分为 1 级和 2 级。梅赛德斯-奔驰的 S 级和 EQS 车型提供 3 级自动驾驶。包括奥迪、宝马和特斯拉在内的其他几家公司也计划很快在市场上推出三级自动驾驶汽车。目前,3 级和 4 级自动驾驶汽车正在一些城市的有限区域内进行测试。第 5 级将有望在未来的某一天实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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