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Real time trajectory optimization for hybrid energy management utilizing connected information technologies

Patent ·
OSTI ID:1840436
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.
Research Organization:
Toyota Motor Engineering & Manufacturing North America, Inc., Plano, TX (United States); Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Organization:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
DOE Contract Number:
AR0000837
Assignee:
Toyota Motor Engineering & Manufacturing North America, Inc. (Plano, TX); The Regents of the University of Michigan (Ann Arbor, MI)
Patent Number(s):
11,117,567
Application Number:
16/019,512
OSTI ID:
1840436
Country of Publication:
United States
Language:
English

References (4)

Adaptive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles conference January 2010
Fuel Efficiency Analysis for Simultaneous Optimization of the Velocity Trajectory and the Energy Management in Hybrid Electric Vehicles journal January 2014
The Role of Velocity Forecasting in Adaptive-ECMS for Hybrid Electric Vehicles journal August 2015
Adaptive Control of a Hybrid Powertrain with Map-based ECMS journal January 2011