Real time trajectory optimization for hybrid energy management utilizing connected information technologies
Abstract
The disclosure is directed to solving a full trajectory optimization problem in real-time for a hybrid electric vehicle (HEV) such that future driving conditions and energy usage may be fully considered in determining optimal engine energy usage and battery energy usage in real-time during a trip. An electronic control unit of the HEV may be configured to: receive route information for a route to be driven by the HEV; and after receiving the route information, iterating the operations of: measuring a current state of charge (SOC) of the battery; using at least the measured SOC and an initial co-state value stored in a memory, performing a process to iteratively update the co-state value to obtain an updated co-state value; using at least the updated co-state value, computing an updated control value; and applying the updated control value to control a usage of the battery and the internal combustion engine.
- Inventors:
- Issue Date:
- Research Org.:
- Toyota Motor Engineering & Manufacturing North America, Inc., Plano, TX (United States); Univ. of Michigan, Ann Arbor, MI (United States)
- Sponsoring Org.:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- OSTI Identifier:
- 1840436
- Patent Number(s):
- 11117567
- Application Number:
- 16/019,512
- Assignee:
- Toyota Motor Engineering & Manufacturing North America, Inc. (Plano, TX); The Regents of the University of Michigan (Ann Arbor, MI)
- Patent Classifications (CPCs):
-
B - PERFORMING OPERATIONS B60 - VEHICLES IN GENERAL B60W - CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION
G - PHYSICS G05 - CONTROLLING G05D - SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- DOE Contract Number:
- AR0000837
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 06/26/2018
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Huang, Mike X., Shibaike, Yushi, Zhang, Shengqi, Chen, Di, and Stefanopoulou, Anna G. Real time trajectory optimization for hybrid energy management utilizing connected information technologies. United States: N. p., 2021.
Web.
Huang, Mike X., Shibaike, Yushi, Zhang, Shengqi, Chen, Di, & Stefanopoulou, Anna G. Real time trajectory optimization for hybrid energy management utilizing connected information technologies. United States.
Huang, Mike X., Shibaike, Yushi, Zhang, Shengqi, Chen, Di, and Stefanopoulou, Anna G. Tue .
"Real time trajectory optimization for hybrid energy management utilizing connected information technologies". United States. https://www.osti.gov/servlets/purl/1840436.
@article{osti_1840436,
title = {Real time trajectory optimization for hybrid energy management utilizing connected information technologies},
author = {Huang, Mike X. and Shibaike, Yushi and Zhang, Shengqi and Chen, Di and Stefanopoulou, Anna G.},
abstractNote = {The disclosure is directed to solving a full trajectory optimization problem in real-time for a hybrid electric vehicle (HEV) such that future driving conditions and energy usage may be fully considered in determining optimal engine energy usage and battery energy usage in real-time during a trip. An electronic control unit of the HEV may be configured to: receive route information for a route to be driven by the HEV; and after receiving the route information, iterating the operations of: measuring a current state of charge (SOC) of the battery; using at least the measured SOC and an initial co-state value stored in a memory, performing a process to iteratively update the co-state value to obtain an updated co-state value; using at least the updated co-state value, computing an updated control value; and applying the updated control value to control a usage of the battery and the internal combustion engine.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 14 00:00:00 EDT 2021},
month = {Tue Sep 14 00:00:00 EDT 2021}
}
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