DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: 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}
}

Works referenced in this record:

Adaptive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles
conference, January 2010


Engine Power Elevation Energy Management Strategies for Hybrid Vehicles
patent-application, May 2013


Method and system for water usage on-board a vehicle
patent, February 2020


Method for controlling a drive train of a hybrid vehicle
patent-application, January 2003


Method and System for Selecting Power Sources in Hybrid Electric Vehicles
patent-application, December 2016


Powertrain Configurations for Single-Motor, Two Clutch Hybrid Electric Vehicles
patent-application, August 2014


Hybrid Vehicle and Method of Controlling Hybrid Vehicle
patent-application, November 2011


Adaptive control strategy and method for optimizing hybrid electric vehicles
patent, June 2011


Method to control vehicular powertrain by monitoring map preview information
patent, January 2012


Hybrid Vehicle Fuel Efficiency Using Inverse Reinforcement Learning
patent-application, January 2014


System and Method for Improving Energy Efficiency of a Vehicle Based on Known Route Segments
patent-application, October 2015


Distance based battery charge depletion control for PHEV energy management
patent, May 2014


Hybrid vehicle fuel efficiency using inverse reinforcement learning
patent, July 2015


Method and system for selecting power sources in hybrid electric vehicles
patent, May 2017


Electric Vehicle Control Based on Operating Costs Associated with Power Sources
patent-application, October 2015


Trip oriented energy management control
patent, June 2015


Hybrid Electric Vehicle and Method of Control Using Path Casting
patent-application, January 2012


The Role of Velocity Forecasting in Adaptive-ECMS for Hybrid Electric Vehicles
journal, August 2015


Energy Management Systems and Method for Vehicle Systems
patent-application, August 2015


Electric vehicle control based on operating costs associated with power sources
patent, November 2015


Trip Oriented Energy Management Control
patent-application, June 2014


Method and System for Water Usage On-Board a Vehicle
patent-application, September 2019


Energy Replenishment Quantity Control System
patent-application, June 2010


Electric Vehicle Opportunistic Charging Systems and Methods
patent-application, May 2017


Hybrid Vehicle
patent-application, September 2016


Vehicle Control Through Machine Learning
patent-application, March 2016


Method for Estimating the Autonomy of an Electric or Hybrid Vehicle
patent-application, April 2017


System and Method for Hybrid Power Generation
patent-application, October 2017


Range Extender
patent-application, January 2020


Vehicle Battery Charge Setpoint Control
patent-application, April 2015


Efficient dual source battery pack system for an electric vehicle
patent, September 2013


Battery Optimization
patent-application, September 2016


Engine power elevation energy management strategies for hybrid vehicles
patent, August 2015


Method and Apparatus for Controlling a Hybrid Power Train System
patent-application, December 2018


Adaptive Control of a Hybrid Powertrain with Map-based ECMS
journal, January 2011


Hybrid vehicle and method of controlling hybrid vehicle
patent, December 2013


Drive-and-control system for hybrid vehicles
patent-application, August 2009


Hybrid Vehicle Control System
patent-application, August 2019


Electric Vehicle Opportunistic Charging Systems and Methods
patent-application, February 2017


PHEV Energy Management Control with Trip-Oriented Energy Consumption Preplanning
patent-application, April 2015


Predictive Energy Management Control Scheme for a Vehicle Including a Hybrid Powertrain System
patent-application, March 2011


Distance Oriented Energy Management Strategy for a Hybrid Electric Vehicle
patent-application, February 2012