Co-Pilot: AI Advanced Driver Assistance System to Extend Range of Battery Electric Vehicles

**问题**零排放汽车(ZEV)的范围和初始预付拥有成本(ZEV)被广泛认为是消费者和车队运营商没有过渡到ZEV的最常见原因。在电池电动汽车(BEV)的子集ZEV的情况下，原始设备制造商(OEM)只是增加车辆中的电池数量，以扩大车辆的续航里程。虽然这扩大了范围，但也带来了新的挑战。首先，它显著增加了车辆的成本，因为电池是最昂贵的部件之一，导致大多数消费者望而却步。其次，它增加了制造时的二氧化碳排放，这意味着BEV的环境效益意义不大。**观察**一个关键的观察是驾驶风格-司机如何加速、刹车和转向-是全球协调轻型车测试程序(WLTP)标准下的Bev系列没有被公共道路上的消费者复制的最大因素。**该产品是什么？它具有怎样的颠覆性**为了应对这一问题，我们正在开发第一款高级驾驶员辅助系统(ADAS)，该系统专门针对能源效率进行了优化，以扩大BEV的续航范围。Active ADAS解决方案是汽车工程师协会(SAE)的2级自动驾驶系统，在驾驶员的监督下控制车辆。副驾驶具有创新性，因为它利用计算机视觉和人工智能(AI)来了解道路环境、车辆的电动总成和再生制动系统，以最佳节能方式控制车辆。直觉上，副驾驶知道什么时候车辆最适合在不使用能源的情况下滑行，并最大限度地提高制动的百分比，这是可再生的，为车辆的电池充电。**产品如何解决问题**联合驾驶通过优化控制车辆来扩大续航里程，帮助解决Bev续航问题。该设备和软件有助于以安装额外电池的一小部分价格扩大续航里程。此外，延长续航里程是通过制造工艺实现的，该工艺比替代方案的碳足迹更小。

**Problem**The range of zero-emissions vehicles (ZEV) and the initial up-front cost of ownership (ZEV) are widely cited as the most common reasons why consumers and fleet operators are not transitioning to ZEVs. In the case of battery-electric vehicles (BEV), a subset of ZEVs, original equipment manufacturers (OEMs) simply increase the number of battery cells in the vehicle in order to extend the range of the vehicle . While this boosts the range, it introduces new challenges. It first significantly increases the cost of the vehicle as battery cells are one of the most expensive components, pricing out most consumers. Secondly, it increases the CO2 emissions at the time of manufacturing, meaning the environmental benefits of a BEV are less meaningful. **Observation**A key observation is that driving style---how a driver accelerates, brakes and steers---is the single biggest factor why a BEV range by the Worldwide Harmonised Light Vehicle Test Procedure (WLTP) standard is not replicated by consumers on public roads. **What is the product & how is it disruptive**In response to this we are developing Co-pilot, the first Advanced Driver Assistance System (ADAS) that is specifically optimized for energy efficiency to extend the range of BEVs. The active ADAS solution is a Society of Automotive Engineers (SAE) Level-2 autonomous system that controls the vehicle under the supervision of the driver. Co-pilot is innovative as it leverages computer vision and artificial intelligence (AI) to understand the context of the road, the vehicle's electric powertrain, and regenerative braking systems to control the vehicle in an optimally energy efficient manner. Intuitively, Co-pilot knows when it is most appropriate for the vehicle to coast using no energy and to maximise the percentage of braking, which is regenerative, recharging the vehicle's battery. **How does the product address the problem**Co-pilot helps to solve the BEV range issue by controlling the vehicle optimally to extend the range. The device and software help to extend the range at a fraction of the price of installing additional batteries. Additionally, the extended range is achieved through a manufacturing process which has a smaller carbon footprint than alternatives.