Hybrid Energy Source Management Composed of a Fuel Cell and Super- Capacitor for an Electric Vehicle

2016 ◽  
Vol 05 (02) ◽  
Author(s):  
Boumediene Allaoua ◽  
Brahim Mebarki
Keyword(s):  
Energy Source ◽  
Fuel Cell ◽  
Electric Vehicle ◽  
Super Capacitor ◽  
Hybrid Energy ◽  
Source Management

Fuzzy logic based power management strategy using topographic data for an electric vehicle with a battery-ultracapacitor energy storage

2015 ◽  
Vol 34 (1) ◽  
pp. 173-188 ◽  
Author(s):  
Marek Michalczuk ◽  
Bartlomiej Ufnalski ◽  
Lech M. Grzesiak
Keyword(s):  
Energy Source ◽  
Fuzzy Logic ◽  
Energy Storage ◽  
Electric Vehicle ◽  
Power Management ◽  
Management Strategy ◽  
Content Type ◽  
Hybrid Energy ◽  
Management Algorithm ◽  
Power Management Strategy

Purpose – The purpose of this paper is to provide high-efficiency and high-power hybrid energy source for an urban electric vehicle. A power management strategy based on fuzzy logic has been introduced for battery-ultracapacitor (UC) energy storage. Design/methodology/approach – The paper describes the design and construction of on-board hybrid source. The proposed energy storage system consists of battery, UCs and two DC/DC interleaved converters interfacing both storages. A fuzzy-logic controller (FLC) for the hybrid energy source is developed and discussed. Control structure has been tested using a non-mobile experimental setup. Findings – The hybrid energy storage ensures high-power ability. Flexibility and robustness offered by the FLC give an easy accessible method to provide a power management algorithm extended with additional input information from road infrastructure or other vehicles. In the presented research, it was examined that using information related to the topography of the road in the control structure helps to improve hybrid storage performance. Research limitations/implications – The proposed control algorithm is about to be validated also in an experimental car. Originality/value – Exploratory studies have been provided to investigate the benefits of energy storage hybridization for electric vehicle. Simulation and experimental results confirm that the combination of lithium batteries and UCs improves performance and reliability of the energy source. To reduce power impulses drawn from the battery, power management algorithm takes into consideration information on slope of a terrain.

scholarly journals A Novel Design on Hybrid Energy Storage System for an Electric Vehicle using NNFF Technology

2019 ◽  
Vol 8 (3) ◽  
pp. 3444-3448
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Storage System ◽  
Energy Storage System ◽  
Long Distance ◽  
Super Capacitor ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System

As each day passes, we, humans, are attracted towards more and more technology for the easiness of our day to day life. One such technology, which has a very high scope in future and in the aspect of reducing pollution and providing clean environment, is the use of electric vehicles. Moreover, the electric vehicles provides long distance endurance and it is really minimizes the cost. This paper mainly discusses about the use and benefit of hybrid energy storage system for electric vehicle with the help of Neural Network Fitting Function technology, which is based on a controller. At last, comparison between graphs of a base model and the proposed model is also shown, which clearly shows reduction in variation of the battery current, super capacitor, load current and dc voltage graph.

Control of a Hybrid Energy Source Comprising a Fuel Cell and Two Storage Devices Using Isolated Three-Port Bidirectional DC–DC Converters

2015 ◽  
Vol 51 (1) ◽  
pp. 491-497 ◽  
Author(s):  
Matheepot Phattanasak ◽  
Roghayeh Gavagsaz-Ghoachani ◽  
Jean-Philippe Martin ◽  
Babak Nahid-Mobarakeh ◽  
Serge Pierfederici ◽  
...  
Keyword(s):  
Energy Source ◽  
Fuel Cell ◽  
Storage Devices ◽  
Hybrid Energy

scholarly journals Adaptive Second Order Sliding Mode Control of a Fuel Cell Hybrid System for Electric Vehicle Applications

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Jianxing Liu ◽  
Yue Zhao ◽  
Bo Geng ◽  
Bing Xiao
Keyword(s):  
Energy Source ◽  
Fuel Cell ◽  
Electric Vehicle ◽  
Hybrid System ◽  
Sliding Mode ◽  
Polymer Electrolyte Membrane ◽  
Primary Energy ◽  
Second Order ◽  
Feed System ◽  
Second Order Sliding Mode

We present an adaptive-gain second order sliding mode (SOSM) control applied to a hybrid power system for electric vehicle applications. The main advantage of the adaptive SOSM is that it does not require the upper bound of the uncertainty. The proposed hybrid system consists of a polymer electrolyte membrane fuel cell (PEMFC) with a unidirectional DC/DC converter and a Li-ion battery stack with a bidirectional DC/DC converter, where the PEMFC is employed as the primary energy source and the battery is employed as the second energy source. One of the main limitations of the FC is its slow dynamics mainly due to the air-feed system and fuel-delivery system. Fuel starvation phenomenon will occur during fast load demand. Therefore, the second energy source is required to assist the main source to improve system perofrmance. The proposed energy management system contains two cascade control structures, which are used to regulate the fuel cell and battery currents to track the given reference currents and stabilize the DC bus voltage while satisfying the physical limitations. The proposed control strategy is evaluated for two real driving cycles, that is, Urban Dynamometer Driving Schedule (UDDS) and Highway Fuel Economy Driving Schedule (HWFET).

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