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Adaptive Energy Management Strategy for Plug-In Hybrid Electric Vehicles with Pontryagin’s Minimum Principle Based on Daily Driving Patterns

Title
Adaptive Energy Management Strategy for Plug-In Hybrid Electric Vehicles with Pontryagin’s Minimum Principle Based on Daily Driving Patterns
Author
김남욱
Keywords
Optimization; PHEV; Energy consumption; Power management; Simulation
Issue Date
2019-07
Publisher
KOREAN SOC PRECISION ENG
Citation
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY, v. 6, No. 3, Page. 539-548
Abstract
Optimal control ideas based on Pontryagin's Minimum Principle (PMP) have become mature techniques for maximizing the fuel efficiency of Hybrid Electric Vehicles (HEVs) and Plug-in Hybrid Electric Vehicles (PHEVs). The outstanding performance of this control concept has already been verified in many studies, in which the PMP-based control produces optimal solutions that are very close to the global optimal solution obtained by Dynamic Programming (DP). However, the drawback of the control concept is that the PMP-based control will not guarantee optimality if no information about the future driving condition is given. This is not just a drawback of the PMP-based control, but it is an unavoidable limitation in most optimal control concepts. Therefore, previous studies have been focused on finding an optimal costate when the future driving conditions are given or predicted prior to driving. In this study, a methodology that analyzes the past driving pattern and updates the control parameters is proposed by assuming that vehicles are operated under repeated driving conditions. A control parameter, or a costate in the PMP-based control, can be estimated from two parameters that characterize the driving conditions, and the correlation between the costates and the energy consumption patterns is used to update the control parameter. Based on this control concept, the final State of Charge (SOC) at the end of each drive gets gradually closer to the desired value as the driving cycle is repeated. The methodology can be used for vehicles operated under repeated driving patterns, such as commuting buses, parcel delivery vehicles, or refuse collection trucks.
URI
https://link.springer.com/article/10.1007/s40684-019-00046-zhttps://repository.hanyang.ac.kr/handle/20.500.11754/117402
ISSN
2288-6206; 2198-0810
DOI
10.1007/s40684-019-00046-z
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MECHANICAL ENGINEERING(기계공학과) > Articles
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