Sustainable Lifecycle Management for Automotive Development via Multi-Dimensional Circular Design Framework

With the continuous development of autonomous driving technology, intelligent vehicles represented by autonomous taxis have begun to participate in the transportation system. Improving the sustainability of intelligent vehicles can increase the useful life of vehicles and reduce the overall increase of vehicles in society. This reduction reduces emissions and energy consumption, thereby increasing environmental sustainability. However, most of the current intelligent vehicles are modified from existing vehicles. The initial design of these vehicle does not consider the requirements for autonomous driving, which can easily lead to a mismatch between the control algorithm and the mechanical structure. Moreover, current intelligent vehicles mainly focus on the development of autonomous driving algorithms and ignore sustainable design, which will lead to increased energy consumption and reduced lifespan. This letter proposes a multi-dimensional circular design (MDCD) framework to improve the sustainability of intelligent vehicles from sustainable lifecycle management perspective. The MDCD framework consists of six parts, which are intelligent design, sensing, control, supervision, diagnosis and recycle. This letter is one of the Distributed/Decentralized Hybrid Workshop on Sustainability for Transportation and Logistics (DHW-STL).