Energy Management of Smart Homes with Energy Storage, Rooftop PV and Electric Vehicle

Author(s):  
Lokesh Chandra ◽  
Saurabh Chanana
2018 ◽  
Vol 57 (3) ◽  
pp. 253-271 ◽  
Author(s):  
A Geetha ◽  
C Subramani

The study of electric vehicle and its energy sources are being incorporated in undergraduate and postgraduate syllabuses. This article discusses the basic concepts and design of energy storage systems for electricity based transpiration application. The content of this work elaborates the importance of energy storage systems in electric vehicle and hybridization of energy storage systems i.e. battery and ultracapacitor, which seems to be a promising topic among the final-year project students as well as an emerging research topic among the research scholars worldwide. Hence, this article is prepared in order to trigger those students’ knowledge in multisourced electric vehicle in depth. This study highly focuses on fuzzy logic-based energy sources power split strategy for a multisourced electric vehicle to enhance a better sharing of energy across the multisources with distinct characteristics like high specific power (ultracapacitor) and high specific energy (battery). In general, fuzzy logic controller best suits for a complicated real-time problem. Further it does not require a priori knowledge of a vehicle driving pattern over a time. Hence, the proposed control strategy can provide a satisfactory improvement in vehicle efficiency, assured reduction in stress factor, and energy consumption rate and reduced ultracapacitor sources state of charge difference in all different hybridization topologies. Thus, this paper can help students working on energy management problems of hybridization of energy sources.


Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 600
Author(s):  
Kevin Mallon ◽  
Francis Assadian

Hybrid and electric vehicle batteries deteriorate from use due to irreversible internal chemical and mechanical changes, resulting in decreased capacity and efficiency of the energy storage system. This article investigates the modeling and control of a lithium-ion battery and ultracapacitor hybrid energy storage system for an electric vehicle for improved battery lifespan and energy consumption. By developing a control-oriented aging model for the energy storage components and integrating the aging models into an energy management system, the trade-off between battery degradation and energy consumption can be minimized. This article produces an optimal aging-aware energy management strategy that controls both battery and ultracapacitor aging and compares these results to strategies that control only battery aging, strategies that control battery aging factors but not aging itself, and non-optimal benchmark strategies. A case study on an electric bus with variously-sized hybrid energy storage systems shows that a strategy designed to control battery aging, ultracapacitor aging, and energy losses simultaneously can achieve a 28.2% increase to battery lifespan while requiring only a 7.0% decrease in fuel economy.


Author(s):  
Ayuning Fitri Desanti ◽  
Yoga Uta Nugraha ◽  
M Nur Yuniarto ◽  
Alief Wikarta

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