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Challenge Too Slick to Quit - Determining True Lubricant Health In-Situ

Too Slick to Quit - Determining True Lubricant Health In-Situ

STATUS: Awarded
Active Solvers: 272
Posted: Apr 03 2017
Challenge ID: 9933983
 
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Abstract
Knowing exactly when engine lubricants have reached their limit has multiple impacts on drivers, both in terms of an economic cost and in the protection of mechanical parts. Changing oil too early is costly and too late can be harmful. Most recommendations for lubricant changes are based on averages (e.g., average miles over time, average number of starts and stops) and are heavily weighted on early lubricant changes to err on the side of caution due to potential mechanical damage. What would a more precise and efficient system look like? This Challenge seeks to answer that question, and is looking for a system to accurately measure lubricant health in real time.
 
Note: This Theoretical Challenge requires only a written proposal.
Overview
Currently, there very few simple ways to accurately determine lubricant health. Most recommendations for lubricant changes are based on averages, like average miles driven, and are great for the “average” engine or machine, but do not accurately predict the true health of a particular vehicle’s lubricant. This Challenge is looking for a system that will measure lubricant health accurately in real time (in-situ) in order to facilitate economical and safe lubricant changes.
 
This is a Theoretical Challenge that requires only a written proposal submission. The Challenge award will be contingent upon evaluation of the proposal by the Seeker.
 
The award for the most viable complete solution meeting all requirements will be $15,000, with the possibility that multiple full and partial awards can be made. No award will be less than $5,000, and the Seeker may limit or raise the number of awards depending on the quality of submissions.
 
To receive an award, the Solvers will have to transfer to the Seeker their exclusive Intellectual Property (IP) rights to the solution. However, the Seeker will be willing to consider a licensing agreement for a partial award if exclusive IP cannot be transferred by the Solver.
 
Submissions to this Challenge must be received by 11:59 PM (US Eastern Time) on May 3, 2017.
Late submissions will not be considered.
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What is a Theoretical IP Transfer Challenge?

An InnoCentive Theoretical Challenge builds upon an idea but is not yet a proof of concept. A solution to a Theoretical Challenge will solidify the Solver's concept with detailed descriptions, specifications and requirements necessary to bringing a good idea closer to becoming an actual product or service.

This Challenge is a Theoretical-IP Transfer Challenge, meaning that Solvers must relinquish all rights to the Intellectual Property (IP) for which they are awarded. By contrast, Theoretical-Licensing means that the Seeker is requesting non-exclusive rights to use the winning solution. For these forms of a Theoretical Challenge, Solvers that do not win retain the rights to their solution after the evaluation period is complete. The Seeker retains no rights to any IP not awarded.

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