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Request for Proposal
Status: RFP is Closed

Automatic Calibration and Parameter Identification of Motors

Request Number
RFP_2018_3915
Due Date
Jan 10
Program Manager

Opportunity
Joint/contract development, licensing, consultation

 

Timeline
Experiment-based evaluation: March–June 2019

 

Financials
Necessary development expense will be covered
(Details open to negotiation based on proposals)

 

How to  Apply
  • Click on "Respond", complete the form to the extent possible, and submit along with other attachment files available. 
  • After creating your account for NineSights, your draft will be automatically saved and you can resume later from "Control Center". Please note you do not submit confidential information at this process.

 

SOLUTION PROVIDER HELP DESK

If you have any questions or request, please feel free to contact us at: phd2@ninesigma.com

RFP was closed on
Feb 2019

RFP Title

 

Automatic Calibration and Parameter Identification of Motors
RFP Description

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
  • Uses: Automobiles
  • Output: ≥1 kW

 

Technology requirements

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:
    • Phase resistance
    • Inductance (Ld, Lq)
    • Induced voltage constant
  • Target time to complete automatic parameter identification: ≤0.5 hours
Possible Approaches

Possible Approaches

The Client expects technologies such as the following, but is open to others:

  • Automatic gain control of motors
    • FRIT (Fictitious Reference Iterative Tuning) method
    • Automatic gain control based on neutral network
    • 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

Background

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.

 

Response evaluation

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.

Preferred Collaboration Types
Area of Interest