Improvement of Energy Management Control Strategy of Fuel Cell Hybrid Electric Vehicles Based on Artificial Intelligence Techniques

Belhadj, Said; Belmokhtar, K.; Ghedamsi, Kaci Ghedamsi Kaci

doi:10.18280/jesa.520601

Cited by 6 publications

(6 citation statements)

References 29 publications

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“…At each instant, one mode out of five is activated; the states of outputs are characterized by Eq. (11).…”

Section: High Level Designmentioning

confidence: 99%

“…The control and the management strategy for multi-source system are very crucial in coordinating different sources involved and in enhancing vehicle's dynamic and static performances [9][10][11][12][13][14][15]. Hannan et al [16] have proposed a digital controller that acts as an EMS for light electric vehicle (EV) containing a battery, a SC and a fuel cell.…”

Section: Introductionmentioning

confidence: 99%

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Multi-criteria and Hierarchical Level Energy Management System for Light Solar Vehicle Integrating a Supercapacitor

Belattar¹,

Hamdaouy²,

Madi³

2020

JESA

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In this paper, multi-criteria and hierarchical energy management system (EMS) for a light solar vehicle (LSV) is investigated. This vehicle uses of a lithium-ion battery (bat), a supercapacitor (SC), a photovoltaic (PV) generator and a propulsion system. The proposed management strategy aims to enhance power sharing between multiple sources with different characteristics, and to optimize power trajectory in order to avoid the energy losses in the DC/DC converters. For this sake, the developed strategy is based on five modes switching process. The proposed EMS consists of three hierarchical levels. The high level defines dynamically mode operation according to system situation and management strategy (decision strategy). It employs the state of charge of the battery (SOCbat), the state of charge of SC (SOCsc), the PV power (Ppv) and the load power (Pload) as a four-information sensor to distinguish different modes and determine the mode selected. While the medium level, integrates an algorithm to compute the reference power for the SC and the battery at each instant and according to selected mode. The low level plays an interface between EMS and DC/DC converters. It is composed from the proportional integral (PI) controllers which provide a pulse width modulation (PWM) signal to DC/DC converters. It is noteworthy here that the fuzzy logic (FL) technology is used to implement the suggested EMS. The obtained results of various simulations demonstrate the effectiveness and reliability of the proposed strategy.

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“…At each instant, one mode out of five is activated; the states of outputs are characterized by Eq. (11).…”

Section: High Level Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-criteria and Hierarchical Level Energy Management System for Light Solar Vehicle Integrating a Supercapacitor

Belattar¹,

Hamdaouy²,

Madi³

2020

JESA

View full text Add to dashboard Cite

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“…Hence, if an important amount of power was required during a short period of time, it could not be delivered instantaneously because of the slow response of both of the power sources used. In [21], the authors applied artificial intelligence techniques to control an HEV powered by fuel cells, a battery, and a PV panel. The use of three power sources enhanced HEV autonomy, but it was at the expense of its weight, cost, and power management complexity.…”

Section: Introductionmentioning

confidence: 99%

Multi Source Electric Vehicles: Smooth Transition Algorithm for Transient Ripple Minimization

Oubelaid

Taib

Rekioua

et al. 2022

Sensors

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Any engineering system involves transitions that reduce the performance of the system and lower its comfort. In the field of automotive engineering, the combination of multiple motors and multiple power sources is a trend that is being used to enhance hybrid electric vehicle (HEV) propulsion and autonomy. However, HEV riding comfort is significantly reduced because of high peaks that occur during the transition from a single power source to a multisource powering mode or from a single motor to a multiple motor traction mode. In this study, a novel model-based soft transition algorithm (STA) is used for the suppression of large transient ripples that occur during HEV drivetrain commutations and power source switches. In contrast to classical abrupt switching, the STA detects transitions, measures their rates, generates corresponding transition periods, and uses adequate transition functions to join the actual and the targeted operating points of a given HEV system variable. As a case study, the STA was applied to minimize the transition ripples that occur in a fuel cell-supercapacitor HEV. The transitions that occurred within the HEV were handled using two proposed transition functions which were: a linear-based transition function and a stair-based transition function. The simulation results show that, in addition to its ability to improve driving comfort by minimizing transient torque ripples and DC bus voltage fluctuations, the STA helps to increase the lifetime of the motor and power sources by reducing the currents drawn during the transitions. It is worth noting that the considered HEV runs on four-wheel drive when the load torque applied on it exceeds a specified torque threshold; otherwise, it operates in rear-wheel drive.

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“…In the 1960s, the Society of Automotive Engineers (SAE) published the SAE Fatigue Design Handbook, which remains a key reference for fatigue durability design and testing of vehicles [8][9][10]. Starting from the 1970s, the SAE has been exploring the fatigue failure of vehicles under complex loads [11].…”

Section: Introductionmentioning

confidence: 99%

Four-Channel Vibrating Testbed Design for Full Vehicle Durability Simulation

2022

Journal of Advanced Transportation

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The four-channel vibrating testbed for full vehicle durability simulation is indispensable for testing vehicle performance. This paper combines theoretical analysis with experimental verification, and the four-channel vibrating simulation testbed is designed. The hardware system consists of three parts: hydraulic mechanical components, sensors, and closed-loop control system, and the software system consists of platform configuration system, platform management system, and basic test system. Based on the design of the hardware system and software system, the emphasis is put on signal processing. Based on the least squares principle, the undetermined coefficients of trend items are determined, the trend items are transformed into the arithmetic mean of signal data, and the models that eliminate constant trend items are established to eliminate the trend items. In order to reflect the fatigue process of parts more truly, the anomaly points were identified and eliminated based on the two-parameter rain-flow counting method. By representing the transfer function in the frequency domain, the measured signal is changed quickly by Fourier, and the uniqueness of the transfer function is ensured by establishing an invariant system. Finally, test verification was performed on the designed testbed with the white powder noise taken as the driving signal. The test results agree well with field testing results. The design of the testbed can meet the requirements of engineering application, and its design method and signal processing method are reasonable, which has certain theoretical research significance and engineering application value.

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Improvement of Energy Management Control Strategy of Fuel Cell Hybrid Electric Vehicles Based on Artificial Intelligence Techniques

Cited by 6 publications

References 29 publications

Multi-criteria and Hierarchical Level Energy Management System for Light Solar Vehicle Integrating a Supercapacitor

Multi-criteria and Hierarchical Level Energy Management System for Light Solar Vehicle Integrating a Supercapacitor

Multi Source Electric Vehicles: Smooth Transition Algorithm for Transient Ripple Minimization

Four-Channel Vibrating Testbed Design for Full Vehicle Durability Simulation

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