Fuzzy Logic and Passivity-based Controller Applied to Electric Vehicle Using Fuel Cell and Supercapacitors Hybrid Source

Mohammedi, M.; Kraa, O.; Becherif, Mohamed; Aboubou, A.; Ayad, M. Y.; Bahri, M.

doi:10.1016/j.egypro.2014.06.076

Cited by 57 publications

(22 citation statements)

References 13 publications

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“…It is a single seater, prototype urban concept vehicle, designed to participate in low consumption competitions. Instead of many recent works on regenerative braking that rely on simulation or laboratory testing [5], [6], [9], [13], [17], [21], the proposed system was designed, developed and tested on the road, in real world conditions. This is the reason the system itself or its subsystems were not studied by modelling techniques.…”

Section: Electronic Switchesmentioning

confidence: 99%

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Development of a compact regenerative braking system for electric vehicles

Tzortzis

Amargianos

Piperidis

et al. 2015

2015 23rd Mediterranean Conference on Control and Automation (MED)

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In this paper, a detailed study and implementation of a reliable and efficient regenerative braking system is presented. It is applied on a prototype electric vehicle, that uses a hydrogen fuel cell as its only power source. Supercapacitors are used to store the energy that is generated during braking, transistors for switching the alternative circuits and an embedded computer controller program undertakes the synchronization of the system tasks. A finite state machine was designed to create a simple but robust technique to control the transistor switches according to the system's sensory inputs. The system is powered by its own supercapacitors, and thus it may be used in a plug-and-play manner. On-road test drives proved the system's reliability and efficiency.

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Section: Electronic Switchesmentioning

confidence: 99%

“…Stand by -idle q 4 Selecting energy source q 5 Charging SC mode-waiting for Switch 1 to turn off q 6 Charging SC mode-waiting for Switch 2 to turn off q 7…”

Section: Statementioning

confidence: 99%

Development of a compact regenerative braking system for electric vehicles

Tzortzis

Amargianos

Piperidis

et al. 2015

2015 23rd Mediterranean Conference on Control and Automation (MED)

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“…After using the proposed control strategy to control and to manage the energy of FC/SC hybrid source, and obtaining good results as shown in [2]. In this paper, a control and energy management of the FC/battery hybrid system is applied, with the same fuzzy logic rules and different values of membership functions.…”

Section: Energy Management Based On Pbcmentioning

confidence: 99%

“…In the case of electrical vehicles, a fuel cell system alone, integrated into a vehicular power train, is not always sufficient to supply propulsion power for a vehicle, because fuel cell systems have some deficiencies, such as high cost, slow response and no regenerative energy recovery during braking [2]. Hybridization of a fuel cell system with energy storage devices can be a solution to these drawbacks.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic and passivity based control applied to hybrid DC power source using fuel cell and battery

Mohammedi

Becherif

Aboubou

et al. 2015

2015 4th International Conference on Systems and Control (ICSC)

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Fuel cell systems offer clean and efficient energy production and are currently under intensive development by several manufacturers for both stationary and mobile applications. Therefore, their slow dynamics and difficulty to respond to the abrupt changes of load leads to prefer the association of a FC with one or more power sources of high dynamics, such as supercapacitors or batteries. In this paper, a hybrid DC power sources system using FC as a main source, a DC link and battery as an auxiliary power source is studied. The main purpose of this work is the control of the hybrid DC source by Pssivity-Based Control (PBC) where the equilibrium points are computed as function of the desired battery current. PBC is a very powerful nonlinear technique dealing with important system information like the system's total energy. The second aim is to determine the desired battery current by a Fuzzy Logic Control (FLC) as function of battery state of charge SoC and the hydrogen quantity QH 2 in order to ensure the desired behaviour of the system. Stability proof and simulation results are given.

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“…There are a number of EMSs for FCVs, such as intelligent-based EMSs and optimization-based EMSs. Among intelligent-based EMSs, FLC has a quite suitable performance, as reported in many studies [14][15][16]. Overall, FLC furnishes rm deduction, from inexact and inexplicit information, about the state of the system in an undemanding way.…”

Section: Introductionmentioning

confidence: 95%

Designing an Optimal Fuzzy Controller for a Fuel Cell Vehicle Considering Driving Patterns

2016

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Abstract. Design of an optimal fuzzy scheme for a fuel cell/battery vehicle to control the power ow between the main components, i.e. the fuel cell, electric motor, and battery, under various driving conditions, is considered in this paper. For this purpose, rstly, the optimum sizes of the main components are calculated by means of a Particle Swarm Optimization (PSO) algorithm. Subsequently, a Fuzzy Logic Controller (FLC) is devised for the control of the power ow. Finally, the FLC is optimized for various driving patterns and an optimal control scheme, based on PSO application, is proposed for energy management of the Fuel Cell Vehicle (FCV) under various tra c conditions. In each one of the mentioned stages, the same optimization process is conducted by applying a Genetic Algorithm (GA) for comparison with the result of the PSO. The results of the computer simulation are compared over diverse driving conditions. The results give an acceptable indication of progress in fuel economy for various driving patterns, using the proposed optimal fuzzy controller.

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Fuzzy Logic and Passivity-based Controller Applied to Electric Vehicle Using Fuel Cell and Supercapacitors Hybrid Source

Cited by 57 publications

References 13 publications

Development of a compact regenerative braking system for electric vehicles

Development of a compact regenerative braking system for electric vehicles

Fuzzy logic and passivity based control applied to hybrid DC power source using fuel cell and battery

Designing an Optimal Fuzzy Controller for a Fuel Cell Vehicle Considering Driving Patterns

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