Integrated optimal design of a hybrid locomotive with multiobjective genetic algorithms

Akli, Cossi Rockys; Sareni, Bruno; Roboam, Xavier; Jeunesse, Alain

doi:10.3233/jae-2009-1018

Cited by 21 publications

(14 citation statements)

References 6 publications

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“…Moreover, integration of HESS significantly optimizes the fuel consumption of the Diesel generator, for instance, in [186], a heterogeneous optimization is realized that actively achieves lower ratings for numerous energy sources with the cost optimizations in cases of various scenarios of climatic conditions, economics, and autonomy of the EV. In [187], an optimization method is proposed to minimize fuel consumption and losses in EV and PHEV.…”

Section: Driving Range Improvementmentioning

confidence: 99%

A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids

Khalid

2019

Energies

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This paper presents a comprehensive categorical review of the recent advances and past research development of the hybrid storage paradigm over the last two decades. The main intent of the study is to provide an application-focused survey where every category and sub-category herein is thoroughly and independently investigated. Implementation of energy storage systems is one of the most interestingly effective options for further progression in the field of alternative energy technology. Apart from a meticulous garnering of the energy resources regulated by the energy storage, the main concern is to optimize the characteristic integrity of the storage devices to achieve a practically techno-economic size and operation. In this paper, hybrid energy storage consisting of batteries and supercapacitors is studied. The fact that the characteristic of batteries is mostly complementary to that of supercapacitors, hybridizing these storage systems enhances their scope of application in various fields. Therefore, the objective of this paper is to present an inclusive review of these applications. Specifically, the application domain includes: (1) regulation of renewable energy sources, (2) contributions to grid regulation (voltage and frequency compensation, contribution to power system inertia), (3) energy storage enhancements (life cycle improvement, and size reduction), (4) regenerative braking in electric vehicles, (5) improvement in wireless power transfer technology. Further, this review also descriptively highlights the control strategies implemented in these domains of applications. The application-oriented review explicates the principle advantages with the hybridization of battery and supercapacitor energy storage systems that can be used as an insight for further development in the field of energy storage technology and its applications. Power Ratings (MW) 0-0.03 [12,13] 0-20 [12,13] 0-0.01 [12,13] 0.05-8 [12,13] 0.03-3 [12,13] 0-0.3 [12] 50 [13] Energy Density, Wh/L

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Section: Driving Range Improvementmentioning

confidence: 99%

A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids

Khalid

2019

Energies

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“…In the different configurations presented, in one a fuel cell is the energy source, in the other a diesel engine is the power source. Other teams have investigated the advantages and drawbacks of the electric energy storage systems, using a combination of batteries and ultracapacitors [29,30].…”

Section: Hybrid Trainsmentioning

confidence: 99%

Urban and Extra-Urban Hybrid Vehicles: A Technological Review

Capata

2018

Energies

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Pollution derived from transportation systems is a worldwide, timelier issue than ever. The abatement actions of harmful substances in the air are on the agenda and they are necessary today to safeguard our welfare and that of the planet. Environmental pollution in large cities is approximately 20% due to the transportation system. In addition, private traffic contributes greatly to city pollution. Further, “vehicle operating life” is most often exceeded and vehicle emissions do not comply with European antipollution standards. It becomes mandatory to find a solution that respects the environment and, realize an appropriate transportation service to the customers. New technologies related to hybrid–electric engines are making great strides in reducing emissions, and the funds allocated by public authorities should be addressed. In addition, the use (implementation) of new technologies is also convenient from an economic point of view. In fact, by implementing the use of hybrid vehicles, fuel consumption can be reduced. The different hybrid configurations presented refer to such a series architecture, developed by the researchers and Research and Development groups. Regarding energy flows, different strategy logic or vehicle management units have been illustrated. Various configurations and vehicles were studied by simulating different driving cycles, both European approval and homologation and customer ones (typically municipal and university). The simulations have provided guidance on the optimal proposed configuration and information on the component to be used.

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“…More particularly, the design of a hybrid electrical locomotive requires taking into account at a system level couplings between architecture, sizing, energy management strategy and environment (Akli et al, 2009). For such devices, the system environment is associated with specific power driving profiles that have to be provided by all energy sources.…”

Section: Introductionmentioning

confidence: 99%

Clustering analysis of railway driving missions with niching

Jaafar

Sareni

Roboam

2012

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Purpose -A wide number of applications requires classifying or grouping data into a set of categories or clusters. The most popular clustering techniques to achieve this objective are K-means clustering and hierarchical clustering. However, both of these methods necessitate the a priori setting of the cluster number. The purpose of this paper is to present a clustering method based on the use of a niching genetic algorithm to overcome this problem. Design/methodology/approach -The proposed approach aims at finding the best compromise between the inter-cluster distance maximization and the intra-cluster distance minimization through the silhouette index optimization. It is capable of investigating in parallel multiple cluster configurations without requiring any assumption about the cluster number. Findings -The effectiveness of the proposed approach is demonstrated on 2D benchmarks with non-overlapping and overlapping clusters. Originality/value -The proposed approach is also applied to the clustering analysis of railway driving profiles in the context of hybrid supply design. Such a method can help designers to identify different system configurations in compliance with the corresponding clusters: it may guide suppliers towards "market segmentation", not only fulfilling economic constraints but also technical design objectives.

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Integrated optimal design of a hybrid locomotive with multiobjective genetic algorithms

Cited by 21 publications

References 6 publications

A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids

A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids

Urban and Extra-Urban Hybrid Vehicles: A Technological Review

Clustering analysis of railway driving missions with niching

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