IoT Cloud Platform for EV Maintenance via AR Guidance
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Solution Overview
Problem
The increasing complexity and cost of maintaining and repairing modern automotive systems, particularly electric vehicles, due to the variety of electric storage components like batteries and supercapacitors, lead to inefficiencies in service chains, requiring specialized tools and highly trained technicians, which are costly and risky, and hinder the adoption of new technologies.
Innovation Solution
An Internet-of-Things (IoT) cloud platform integrating telematics data management and predictive maintenance systems with augmented or virtual reality interfaces, enabling remote diagnostics, modular component replacement, and improved data analytics to facilitate efficient maintenance and repair at local service centers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If highly trained technicians and specialized tools are deployed at local service centers, then maintenance quality and safety improve, but costs and device complexity increase significantly
Solution Approach 1:
The patent introduces remote experts, centralized diagnostic systems, and digital communication platforms as intermediaries between local technicians and complex repair tasks. These mediators enable less-trained technicians to perform sophisticated repairs by connecting them to remote expertise through video calls, augmented reality guidance, and real-time data sharing, thereby maintaining high maintenance quality without requiring expensive specialized personnel at every location.
Solution Approach 2:
The patent replaces the mechanical system of physically present highly-trained technicians with digital systems including remote communication platforms, augmented reality interfaces, and centralized diagnostic software. This substitution allows knowledge and expertise to be transmitted digitally rather than requiring physical presence of specialized personnel, reducing service center complexity while maintaining reliability.
2Reliability
If vehicles are returned to centralized manufacturers for component replacement, then repair quality improves, but downtime and loss of time increase excessively
Solution Approach 1:
The patent segments the repair process into diagnostic, decision-making, and execution phases. Centralized manufacturers handle complex diagnostic analysis and repair planning, while local service centers perform the actual physical repairs. This segmentation allows repairs to be performed locally rather than requiring full vehicle transport, significantly reducing downtime while maintaining repair quality through centralized oversight.
Solution Approach 2:
The patent implements preliminary diagnostic actions through centralized systems that analyze vehicle data before vehicles arrive at service centers. This advance preparation allows for pre-planning of repair procedures, parts preparation, and technician assignment, enabling faster turnaround times when vehicles do require centralized intervention while minimizing the frequency of such events.
3Ease of repair
If specialized tools and highly trained personnel are deployed, then maintenance capability improves, but costs and safety risks increase
Solution Approach 1:
The patent introduces remote experts and digital communication systems as intermediaries that guide local technicians through complex repair procedures. This mediation allows less-trained technicians to safely handle sophisticated equipment by receiving real-time instructions and oversight from remotely located specialists, thereby improving maintenance capability without proportionally increasing safety risks.
Solution Approach 2:
The patent uses augmented reality and video transmission to create virtual copies of expert technicians that can be projected into the physical workspace of local technicians. These digital copies provide visual guidance, highlight safety concerns, and demonstrate proper procedures, enabling safe operation of specialized equipment without requiring physical presence of highly-trained personnel at every location.
Data Source
AI summary
Disclosed herein are system, method, and computer program product embodiments for vehicular telematics with virtual-reality monitoring capabilities. An example system may establish a data connection to a plurality of sensors corresponding to at least one component of a vehicle, retrieve status information corresponding to the at least one component of the vehicle, from the plurality of sensors, send the status information retrieved from the plurality of sensors to a data set, receive at least one result of predictive analytics performed with the data set, and generate output via an interface. Other embodiments may additionally place requests for new parts or service based on the at least one result of the predictive analytics. The data set may be a structured database or an unstructured cluster. Big data analytics may use simulations for predictions. Output may leverage virtual reality or augmented reality to improve ease of use and intuitiveness for any role of users.