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

副驾驶：人工智能高级驾驶辅助系统可扩展纯电动汽车的续航里程

• 批准号: 10004964
• 金额: $ 37.43万
• 依托单位: CREATION LABS AI LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10004964
• 关键词: Co; Pilot; AI; Advanced; Driver

**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.

** 问题 ** 零排放汽车（ZEV）的范围和初始前期拥有成本（ZEV）被广泛认为是消费者和车队运营商不向ZEV过渡的最常见原因。在电池电动汽车（BEV）的情况下，零电动汽车的一个子集，原始设备制造商（OEM）简单地增加车辆中电池的数量，以扩大车辆的范围。虽然这提高了范围，但也带来了新的挑战。它首先显著增加了车辆的成本，因为电池是最昂贵的组件之一，大多数消费者都无法购买。其次，它增加了制造时的二氧化碳排放量，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-驾驶员如何加速，刹车和转向-是全球协调轻型车辆测试程序（WLTP）标准的BEV范围无法在公共道路上被消费者复制的唯一最大因素。** 这是一款什么样的产品？它是如何颠覆性的 ** 为了应对这一问题，我们正在开发Co-pilot，这是第一款专门针对能源效率进行优化的高级驾驶员辅助系统（ADAS），可扩展BEV的续航里程。主动式ADAS解决方案是汽车工程师协会（SAE）2级自动驾驶系统，可在驾驶员的监督下控制车辆。Co-pilot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、车辆的电动动力系统和再生制动系统，从而以最佳节能方式控制车辆。直觉上，副驾驶知道什么时候最适合车辆不使用能源滑行，并最大限度地提高制动的百分比，这是再生的，为车辆的电池充电。** 产品如何解决问题 ** 副驾驶通过最佳控制车辆来延长续航里程，从而帮助解决BEV续航里程问题。该设备和软件有助于以安装额外电池的一小部分价格扩展范围。此外，通过比替代品碳足迹更小的制造工艺实现了扩展范围。