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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Design of Lightweight Driver-Assistance System for Safe Driving in Electric Vehicles
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Design of Lightweight Driver-Assistance System for Safe Driving in Electric Vehicles

机译：电动汽车安全驾驶轻巧驾驶辅助系统的设计

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摘要

Electric-vehicle technology is an emerging area offering several benefits such as economy due to low running costs. Electric vehicles can also help to significantly reduce CO emission, which is a vital factor for environmental pollution. Modern vehicles are equipped with driver-assistance systems that facilitate drivers by offloading some of the tasks a driver does while driving. Human beings are prone to errors. Therefore, accidents and fatalities can happen if the driver fails to perform a particular task within the deadline. In electric vehicles, the focus has always been to optimize the power and battery life, and thus, any additional hardware can affect their battery life significantly. In this paper, the design of driver-assistance systems has been introduced to automate and assist in some of the vital tasks, such as a braking system, in an optimized manner. We revamp the idea of the traditional driver-assistance system and propose a generic lightweight system based on the leading factors and their impact on accidents. We model tasks for these factors and simulate a low-cost driver-assistance system in a real-time context, where these scenarios are investigated and tasks schedulability is formally proved before deploying them in electric vehicles. The proposed driver-assistance system offers many advantages. It decreases the risk of accidents and monitors the safety of driving. If, at some point, the risk index is above a certain threshold, an automated control algorithm is triggered to reduce it by activating different actuators. At the same time, it is lightweight and does not require any dedicated hardware, which in turn has a significant advantage in terms of battery life. Results show that the proposed system not only is accurate but also has a very negligible effect on energy consumption and battery life.
机译：电动汽车技术是一个新兴领域，由于运行成本低廉，因此具有多种优势，例如经济。电动汽车还可以帮助显着减少CO排放，这是造成环境污染的重要因素。现代车辆配备了驾驶员辅助系统，该系统通过减轻驾驶员在驾驶过程中执行的某些任务来为驾驶员提供便利。人类容易犯错误。因此，如果驾驶员未能在期限内执行特定任务，则可能发生事故和死亡。在电动汽车中，重点始终是优化电源和电池寿命，因此，任何其他硬件都会严重影响其电池寿命。在本文中，已经引入了驾驶员辅助系统的设计，以优化的方式自动执行和辅助一些重要任务，例如制动系统。我们改进了传统的驾驶员辅助系统的概念，并根据主要因素及其对事故的影响，提出了一种通用的轻型系统。我们针对这些因素对任务进行建模，并在实时环境中模拟低成本驾驶员辅助系统，在此情况下，对这些情况进行了调查，并在将任务部署到电动汽车中之前正式证明了任务的可调度性。提出的驾驶员辅助系统具有许多优点。它降低了发生事故的风险并监控了驾驶的安全性。如果在某个时刻风险指数高于某个阈值，则触发自动控制算法以通过激活不同的执行器来降低风险指数。同时，它重量轻且不需要任何专用硬件，这反过来在电池寿命方面具有明显优势。结果表明，所提出的系统不仅准确，而且对能耗和电池寿命的影响可忽略不计。

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