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SELF EXPRESSIVE & SELF HEALING CLOSURES HARDWARES FOR AUTONOMOUS AND SHARED MOBILITY
ISSN: 0148-7191, e-ISSN: 2688-3627
To be published on November 21, 2019 by SAE International in United States
Event: NuGen Summit
Shared Mobility is changing the trends in Automotive Industry and its one of the Disruptions. The current vehicle customer usage and life of components are designed majorly for personal vehicle and with factors that comprehend usage of shared vehicles. The usage pattern for customer differ between personal vehicle, shared vehicle & Taxi. In the era of Autonomous and Shared mobility systems, the customer usage and expectation is high. The vehicle needs systems that will control customer interactions (Self-Expressive) & fix the issues on their own (Self-Healing). These two systems / methods will help in increasing customer satisfaction and life of the vehicle. We will be focusing on vehicle Closure hardware & mechanisms and look for opportunities to improve product life and customer experience in ride share and shared mobility vehicles by enabling integrated designs, which will Self-Express & Self-Heal. Vehicle closures having direct human interfaces with components like closures, handle & other hardware's will be tracked for their performance parameters and usage pattern. The performance parameters will be tracked for every customer and mapped to their profile as customer behavior model. Vehicle closure hardware will express its emotions based on customer interactions to the components. By this system we will control customer abusive behavior that reduces the impacts to vehicle and improve life of the component. Vehicle Closures hardware performance parameters will be monitored by IoT sensors and predictive maintenance decisions will be taken by component failure theory & warranty history by machine learning algorithms. We will have a system that tracks customer interactions to vehicle closure hardware's and enables an emotional connection to customer by emoji's or voice. We will also have a system that tracks performance parameters of each closures hardware mechanisms, indicates to customer as a status of its usability and engages predictive maintenance schedules based on component failure theory.