NIO is a global smart electric vehicle company. Founded in November 2014, NIO commits to shaping a joyful lifestyle by offering high-performance smart electric vehicles and ultimate user experience. Eight years into its establishment, NIO has become a pioneer in the global premium smart electric vehicle market. On September 12, 2018, NIO went public on NYSE. On March 10, 2022, NIO was listed on HKEX. On May 20, 2022, NIO was listed on SGX.
Specializing in research and development of core technologies, NIO has filed and obtained about 6,000 patents and built up a full-fledged in-house R&D system encompassing batteries, electric motors, motor controls, digital technologies, and battery swapping technologies. NIO operates R&D centers and manufacturing facilities in Shanghai, Hefei, Beijing, Nanjing, Shenzhen, Hangzhou, San Jose, Munich, Oxford, Berlin, Budapest and Singapore, and has established an initial sales and service network serving users in over 300 cities worldwide. By 2025, NIO plans to serve users in more than 25 countries and regions around the world.
NIO has a full product line of high-performance smart electric vehicles: the 2022 flagship SUV ES8, the mid-large SUV ES7, the all-round SUV ES6, the coupe SUV EC6, the flagship sedan ET7, as well as the mid-size ET5, the flagship coupe SUV EC7, and the all-around flagship SUV All-New ES8. As of January 31, 2022, NIO delivered 298,062 smart electric vehicles.
In addition to the state-of-the-art smart electric vehicle technologies and experience, NIO has innovated its service model featuring NIO Power, NIO Service, Battery as a Service (BaaS), flexible battery upgrade plan and NIO Certified which is NIO's pre-owned car program, to offer an ultimate service experience throughout the product lifecycle.
Adopting the direct-sales model, NIO offers a series of comprehensive services seamlessly via the NIO app. Combining online and offline touch points including NIO House, NIO Space, NIO Radio and NIO Life, NIO has created a community that starts from but go beyond the car to let users share joy and grow together.
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Video + Slides
Advances in applications of sensor technologies and distributed estimation in intelligent transportation systems facilitate reliable and robust estimation of vehicle states and road conditions, which are required for motion planning and lateral/longitudinal stabilization of an Automated Driving System (ADS). One of the main challenges of the current state estimators and robust control strategies in ADS and connected vehicles is low reliability in high-slip maneuvers due to complex and nonlinear behavior of tire forces. An opinion dynamics approach in intra-vehicular networks will be presented in the first part of presentation to address this issue. The main objective is to enhance safety by developing a tire-level estimation method for estimating individual forces and autonomous vehicles’ longitudinal/lateral slips. An integrated stabilization and traction (while tracking) ADS control framework, which considers the combined-slip friction effect and uses the estimated states at each vehicle corner, will also be discussed in the second part of the presentation.
Global Young Scientist Forum
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