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Journal ArticleDOI

Adaptive intelligent energy management system of plug-in hybrid electric vehicle

Hamid Khayyam, +1 more
- 01 May 2014 - 
- Vol. 69, pp 319-335
TLDR
The proposed adaptive intelligent energy management system can learn while it is running and makes proper adjustments during its operation and it is shown that the proposed intelligentEnergy management system is improving the performance of other existing systems.
About
This article is published in Energy.The article was published on 2014-05-01. It has received 161 citations till now. The article focuses on the topics: Adaptive neuro fuzzy inference system & Energy management.

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Citations
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Journal ArticleDOI

Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective

TL;DR: A comprehensive analysis of EMS evolution toward blended mode (BM) and optimal control is presented, providing a thorough survey of the latest progress in optimization-based algorithms and highlights certain contributions that intelligent transportation systems, traffic information, and cloud computing can provide to enhance PHEV energy management.
Journal ArticleDOI

A review of the development of Smart Grid technologies

TL;DR: An overview of the Smart Grid with its general features, functionalities and characteristics is presented in this paper, where the authors have identified the research activities, challenges and issues of Smart Grid fundamental and related technologies.
Journal ArticleDOI

A survey on smart grid technologies and applications

TL;DR: An important guiding source for researchers and engineers studying the smart grid, which helps transmission and distribution system operators to follow the right path as they are transforming their classical grids to smart grids.
Journal ArticleDOI

Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming

TL;DR: In this paper, the authors employ the dynamic programming (DP) to locate the optimal actions for the engine in PHEVs, and propose a recalibration method to improve the performance of the rule-based energy management through the results calculated by DP algorithm.
Journal ArticleDOI

Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes

TL;DR: In this paper, a tank-to-wheel (TTW) analysis of a series plug-in hybrid electric bus operated in Gothenburg, Sweden, is presented, where the bus line and the powertrain model are described.
References
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Journal ArticleDOI

ANFIS: adaptive-network-based fuzzy inference system

TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.
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Internal combustion engine fundamentals

TL;DR: In this article, the authors describe real engine flow and combustion processes, as well as engine operating characteristics and their operation, including engine design and operating parameters, engine characteristics, and operating characteristics.
Journal ArticleDOI

Structure identification of fuzzy model

TL;DR: The problems of structure identification of a fuzzy model are formulated and an algorithm for identifying a structure is suggested and a successive identification algorithm of the parameters is suggested.
Book

Fuzzy Control

TL;DR: Drawing on their extensive experience working with industry on implementations, Kevin Passino and Stephen Yurkovich have written an excellent hands-on introduction for professionals and educators interested in learning or teaching fuzzy control.
Book

Modern Electric, Hybrid Electric, and Fuel Cell Vehicles

TL;DR: In this paper, the authors present an introduction to automotive technology, with specic reference to battery electric, hybrid electric, and fuel cell electric vehicles, in which the profound knowledge, mathematical modeling, simulations, and control are clearly presented.
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Which car comes with intelligent energy management system and 10 on board computer and gives real time drive information?

It is shown that the proposed intelligent energy management system is improving the performance of other existing systems.