Financials Necessary development expense will be covered (Details open to negotiation based on proposals)
How to Apply
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Automatic Calibration and Parameter Identification of Motors
NineSigma, representing a major automotive parts manufacturer, seeks technologies for automatic gain control and automatic parameter identification of permanent magnet synchronous motors.
Key Success Criteria
Details of target motors
Type: permanent magnet synchronous motor
Output: ≥1 kW
The Client seeks technology that can be applied to either A or B listed below for the motors the Client possesses. It is not necessary for all requirements to be met at this point; proposals are welcome if there is a good chance of meeting them through further development by June 2019.
A. Automatic calibration of motors
The Client seeks technologies/systems that enable automatic motor calibration by gain control to meet the targets specified by the Client on the following items:
Target items for gain control:
Revolving speed, current (Id, Iq), estimation of a rotating position (extended electromotive force model)
Target time to complete automatic gain control: ≤0.5 hours
B. Automatic parameter identification
The Client seeks technologies/systems that are capable of automatic identification of the following motor parameters:
Parameter identification target items:
Inductance (Ld, Lq)
Induced voltage constant
Target time to complete automatic parameter identification: ≤0.5 hours
The Client expects technologies such as the following, but is open to others:
Exploration of optimized conditions using machine learning, etc.
Automatic parameter identification
Online motor parameter estimation, etc.
Approaches not of Interest
Approaches Not of Interest
The following approaches are not of interest:
System that run only on a pre-determined set of conditions
Items to be Submitted
The Client is engaged in the development of automobile motors. Motors are becoming increasingly more high-speed in a quest of further energy saving and higher performance of devices. Next-generation high-speed motors are more complex and have more requirements for gain control compared to conventional motors. While the Client has been working on the development to solve these issues, advancement in information technology devices and the emergence of new algorithms such as machine learning bring about dramatic progresses in data analysis and processing technology. The Client has therefore decided to make this RFP to reduce the man-hour required for the development of automatic gain control of next-generation motors and automatic parameter identification.
Notes on Response
Proposal should not include confidential information. Supplemental files may be submitted in addition to the proposal.
The client will evaluate all responses with the following criteria.
Overall scientific and technical merit
Approach to proof of concept or performance
Economic potential of concept
Realism of the proposed plan (action items, timeline, roles, deliverables, cost estimation)
Potential for proprietary position
Respondents’ capability and related experiences
Anticipated Project Process
After the submission due date, the client will review all submitted proposals. NineSigma will send the review results to each proposer 6-8 weeks after the due date. The client possibly asks clarifying questions before selecting the most suitable candidates for collaboration. The client will select best candidates through evaluations. During the selection process, the client may execute NDA with selected respondents, seek further information disclosure, and discuss specific development targets or potential opportunities.
The client will execute necessary agreements with the selected respondents and move to the advanced development phase. Specifics of any collaboration will be determined through consultation with the concerned parties.