Development of Battery/Supercapacitor Hybrid Energy Management System for Electric Vehicles Based on a Power Sharing Strategy Using Terrain Information

2016 ◽  
Author(s):  
Zhang Qiao ◽  
Weiwen Deng ◽  
Jian Wu ◽  
Feng Ju ◽  
Jingshan Li
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Management System ◽  
Power Sharing ◽  
Energy Management System ◽  
Hybrid Energy ◽  
Sharing Strategy

scholarly journals A Rule Based Energy Management System of Experimental Battery/Supercapacitor Hybrid Energy Storage System for Electric Vehicles

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Qiao Zhang ◽  
Weiwen Deng ◽  
Sumin Zhang ◽  
Jian Wu
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Management System ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Management System ◽  
Rule Based ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System

In this paper, a simple and efficient rule based energy management system for battery and supercapacitor hybrid energy storage system (HESS) used in electric vehicles is presented. The objective of the proposed energy management system is to focus on exploiting the supercapacitor characteristics and on increasing the battery lifetime and system efficiency. The role of the energy management system is to yield battery reference current, which is subsequently used by the controller of the DC/DC converter. First, a current controller is designed to realize load current distribution between battery and supercapacitor. Then a voltage controller is designed to ensure the supercapacitor SOC to fluctuate within a preset reasonable variation range. Finally, a commercial experimental platform is developed to verify the proposed control strategy. In addition, the energy efficiency and the cost analysis of the hybrid system are carried out based on the experimental results to explore the most cost-effective tradeoff.

scholarly journals Multi-layer Predictive Energy Management System for Battery Electric Vehicles

2020 ◽  
Vol 53 (2) ◽  
pp. 14167-14172
Author(s):  
Róbinson Medina ◽  
Zjelko Parfant ◽  
Thinh Pham ◽  
Steven Wilkins
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Management System ◽  
Energy Management System ◽  
Battery Electric Vehicles

scholarly journals Energy Management System Connected for Microgrid using Fuzzy Logic Algorithm

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2522-2527
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Management System ◽  
Power Sharing ◽  
Control Procedure ◽  
Energy Management System ◽  
Energy Control ◽  
Fuzzy Logic Algorithm ◽  
Points Of Interest ◽  
Suggested Technique

In this paper, energy control procedure is designed for the lattice associated combined energy stockpiling with the cell and the supercapacitor under various working ways. The primary points of interest in the recommended EMS are efficacious power sharing among the different energy stockpiling system. The viability of the suggested technique are supported by both simulation and trail studies.

scholarly journals Enhanced Intelligent Energy Management System for a Renewable Energy-Based AC Microgrid

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3268
Author(s):  
Mehdi Dhifli ◽  
Abderezak Lashab ◽  
Josep M. Guerrero ◽  
Abdullah Abusorrah ◽  
Yusuf A. Al-Turki ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Optimal Operation ◽  
Green Energy ◽  
Energy Management System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Ac Microgrid

This paper proposes an enhanced energy management system (EEMS) for a residential AC microgrid. The renewable energy-based AC microgrid with hybrid energy storage is broken down into three distinct parts: a photovoltaic (PV) array as a green energy source, a battery (BT) and a supercapacitor (SC) as a hybrid energy storage system (HESS), and apartments and electric vehicles, given that the system is for residential areas. The developed EEMS ensures the optimal use of the PV arrays’ production, aiming to decrease electricity bills while reducing fast power changes in the battery, which increases the reliability of the system, since the battery undergoes fewer charging/discharging cycles. The proposed EEMS is a hybrid control strategy, which is composed of two stages: a state machine (SM) control to ensure the optimal operation of the battery, and an operating mode (OM) for the best operation of the SC. The obtained results show that the EEMS successfully involves SC during fast load and PV generation changes by decreasing the number of BT charging/discharging cycles, which significantly increases the system’s life span. Moreover, power loss is decreased during passing clouds phases by decreasing the power error between the extracted power by the sources and the required equivalent; the improvement in efficiency reaches 9.5%.

Intelligent Battery-Aware Energy Management System for Electric Vehicles

2019 ◽  
Author(s):  
Dina G. Mahmoud ◽  
Mohamed Gamal Abdelshafi ◽  
Omar A. Elkhouly ◽  
Muhammad Azzazy ◽  
Gehad I. Alkady ◽  
...  
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Management System ◽  
Energy Management System
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