Invention Grant
- Patent Title: Model predictive control and optimization for battery charging and discharging
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Application No.: US15224275Application Date: 2016-07-29
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Publication No.: US10298026B2Publication Date: 2019-05-21
- Inventor: Michael Scott Trimboli , Gregory L. Plett , Regan A. Zane , Kandler Smith , Dragan Maksimovic , Michael Evzelman , Daniel Costinett , Richard Dyche Anderson
- Applicant: Utah State University , FORD GLOBAL TECHNOLOGIES, LLC , ALLIANCE FOR SUSTAINABLE ENERGY, LLC , THE REGENTS OF THE UNIVERSITY OF COLORADO, A BODY
- Applicant Address: US UT Logan, Cache County
- Assignee: Utah State University
- Current Assignee: Utah State University
- Current Assignee Address: US UT Logan, Cache County
- Main IPC: H02J7/00
- IPC: H02J7/00 ; H02J1/10 ; H02M3/335

Abstract:
An apparatus for model predictive control (“MPC”) is disclosed. A method and system also perform the functions of the apparatus. The apparatus includes a measurement module that receives battery status information from one or more sensors receiving information from a battery cell, and a Kalman filter module that uses a Kalman filter and the battery status information to provide a state estimate vector. The apparatus includes a battery model module that inputs the state estimate vector and battery status information into a battery model and calculates a battery model output, the battery model representing the battery cell, and an MPC optimization module that inputs one or more battery model outputs and an error signal in a model predictive control algorithm to calculate an optimal response. The optimal response includes a modification of the error signal.
Public/Granted literature
- US20160336765A1 MODEL PREDICTIVE CONTROL AND OPTIMIZATION FOR BATTERY CHARGING AND DISCHARGING Public/Granted day:2016-11-17
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