Energy management and sizing of a hybrid locomotive

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

doi:10.1109/epe.2007.4417333

Cited by 101 publications

(61 citation statements)

References 6 publications

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“…Many strategies have been proposed and analysed in the research community [5,7,8,10]. In [30], the author defined an optimization strategy where the main power source (the battery) provides a specified power during a specific time schedule.…”

Section: Control Strategiesmentioning

confidence: 99%

Electrical Double-Layer Capacitors in Hybrid Topologies —Assessment and Evaluation of Their Performance

et al. 2012

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PHEVs and BEVs make use of battery cells optimized for high energy rather than for high power. This means that the power abilities of these batteries are limited. In order to enhance their performance, a hybrid Rechargeable Energy Storage System (RESS) architecture can be used combining batteries with electrical-double layer capacitors (EDLCs). Such a hybridized architecture can be accomplished using passive or active systems. In this paper, the characteristics of these topologies have been analyzed and compared based on a newly developed hybridization simulation tool for association of lithium-ion batteries and EDLCs. The analysis shows that the beneficial impact of the EDLCs brings about enhanced battery performances in terms of energy efficiency and voltage drops, rather than extension of vehicle range. These issues have been particularly studied for the passive and active hybrid topologies. The classical passive and active topologies being expensive and less beneficial in term of cost, volume and weight, a new hybrid configuration based on the parallel combination of lithium-ion and EDLCs on cell level has been proposed in this article. This topology allows reducing cost, volume, and weight and system complexity in a significant way. Furthermore, a number of experimental setups have illustrated the power of the novel topology in terms of battery capacity increase and power capabilities during charging and discharging. Finally, a unique cycle life test OPEN ACCESSEnergies 2012, 5 4534 campaign demonstrated that the lifetime of highly optimized lithium-ion batteries can be extended up to 30%-40%.

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Section: Control Strategiesmentioning

confidence: 99%

Electrical Double-Layer Capacitors in Hybrid Topologies —Assessment and Evaluation of Their Performance

et al. 2012

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“…We remind the reader that this power value corresponds to the Diesel engine sizing, which is a device for which consumption and "pollution" are optimum when this latter operates at its nominal power [23], [26]. .…”

Section: B Application On Railway Driving Cyclesmentioning

confidence: 99%

“…-The second constraint g 2 is related to the minimum number of battery cells N BT min required to fulfill the driving cycle. This number can be determined from a battery sizing procedure based on the power flow model according to [23]. Finally, the constraint g 2 is expressed as…”

Section: B Optimization Process 1) Optimization Parametersmentioning

confidence: 99%

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A Systemic Approach Integrating Driving Cycles for the Design of Hybrid Locomotives

Jaafar

Sareni

Roboam

2013

IEEE Trans. Veh. Technol.

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 9802Any correspondance concerning this service should be sent to the repository administrator: staff-oatao@listes-diff.inp-toulouse.fr A Systemic Approach Integrating Driving Cycles for the Design of Hybrid LocomotivesAmine Jaafar, Bruno Sareni, and Xavier Roboam Abstract-Driving cycles are essential in hybrid locomotive design by conditioning their size and performance. This paper introduces a new systemic approach to hybrid locomotive design, taking real-world driving cycles into account. The proposed approach first exploits clustering analysis with the aim of identifying classes corresponding to particular sets of driving cycles. Then, a synthesis process of a reduced and representative profile from each class of driving cycles is presented. Both approaches are applied to the integrated optimal design of an autonomous hybrid (Diesel-electric) locomotive devoted to shunting and switching operations in nonelectrified areas.

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“…load power demand during driving cycles) for sizing the system elements [1]. For these particular electrical architectures, a possible energy management strategy consists of providing the average part of the load power by a primary energy source [9,10] ( Figure 3). The rest of the power (i.e.…”

Section: Signal Synthesis Schemesmentioning

confidence: 99%

Signal synthesis by means of evolutionary algorithms

Jaafar

Sareni

Roboam

2011

Inverse Problems in Science and Engineering

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. In this article, we investigate a procedure for generating signals with genetic algorithms. Signals are obtained from elementary patterns characterized by different degrees of freedom. These patterns are repeated and combined in order to reach specific signal shapes. The whole signal parametrization has to be determined by solving a difficult inverse problem of high dimensionality and strong multimodality. This can be carried out using evolutionary algorithms with the aim of finding all pattern configurations in the signal. The different signal synthesis schemes are evaluated, tested and applied to the generation of particular railway driving profiles.

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Energy management and sizing of a hybrid locomotive

Cited by 101 publications

References 6 publications

Electrical Double-Layer Capacitors in Hybrid Topologies —Assessment and Evaluation of Their Performance

Electrical Double-Layer Capacitors in Hybrid Topologies —Assessment and Evaluation of Their Performance

A Systemic Approach Integrating Driving Cycles for the Design of Hybrid Locomotives

Signal synthesis by means of evolutionary algorithms

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