Battery Models for Estimation of State of Charge by Sliding Mode Observer View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Nacer K. M’Sirdi , Ahmed Belhani , Aziz Naamane

ABSTRACT

This paper presents an analysis of the equivalent circuits proposed for modeling some batteries behaviour. This will show that a third order state space model can be a good deal when used with robust state observer converging in finit time. A robust on-line estimation of State Of Charge is developped. We propose a reduced complexity and Sliding Mode Observer for battery SOC estimation. We review some of the litterature Electrical models and develop their state space formulation. The SMO robust observers are developped and compared in some simulations to emphasize the observers performance. More... »

PAGES

133-149

Book

TITLE

Sustainability in Energy and Buildings

ISBN

978-3-642-27508-1
978-3-642-27509-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-27509-8_11

DOI

http://dx.doi.org/10.1007/978-3-642-27509-8_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1041017166


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Mathematics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Laboratoire des Sciences de l'Information et des Syst\u00e8mes", 
          "id": "https://www.grid.ac/institutes/grid.462878.7", 
          "name": [
            "Laboratoire des Sciences de l\u2019Information et Systemes (LSIS), CNRS UMR 6168, Domaine Universitaire Saint-Jerome, Avenue Escadrille Normandie-Niemen, 13397\u00a0Marseille Cedex 20, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "M\u2019Sirdi", 
        "givenName": "Nacer K.", 
        "id": "sg:person.07726263130.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07726263130.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "University of OumBouaghi, Algeria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Belhani", 
        "givenName": "Ahmed", 
        "id": "sg:person.012246461425.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012246461425.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire des Sciences de l'Information et des Syst\u00e8mes", 
          "id": "https://www.grid.ac/institutes/grid.462878.7", 
          "name": [
            "Laboratoire des Sciences de l\u2019Information et Systemes (LSIS), CNRS UMR 6168, Domaine Universitaire Saint-Jerome, Avenue Escadrille Normandie-Niemen, 13397\u00a0Marseille Cedex 20, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Naamane", 
        "givenName": "Aziz", 
        "id": "sg:person.015204121402.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015204121402.60"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jpowsour.2006.04.146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000460950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.enconman.2007.05.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000765730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.conengprac.2005.03.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007082351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.conengprac.2005.03.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007082351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-7753(02)00190-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008954092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-7753(03)00282-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009407765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-7753(03)00282-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009407765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/en3091586", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010747369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/en3101654", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021354545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-7753(99)00502-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021359990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-7753(02)00193-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025407204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/0020717031000099029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028915506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1149/1.2221597", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032461481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-7753(94)02109-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038406755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpowsour.2004.02.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039879867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/aic.690210103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043840957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1149/1.1393490", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043866990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5370/jeet.2006.1.1.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047178577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-7753(99)00079-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048980377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/309847.310089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052137444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-7753(01)00560-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053361366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10241230306724", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058357667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/49.932692", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061178638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/59.898088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061195001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/60.124547", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061196849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/60.986432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061198188"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/92.953497", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061248676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tec.2006.874229", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061589171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tpel.2004.836680", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061755717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvt.2004.842461", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061818550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/bcaa.1997.574106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093628372"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/acc.2001.945964", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093946369"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/apec.1999.750438", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094082810"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iecec.1996.553872", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094747058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ias.2003.1257769", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094795763"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012", 
    "datePublishedReg": "2012-01-01", 
    "description": "This paper presents an analysis of the equivalent circuits proposed for modeling some batteries behaviour. This will show that a third order state space model can be a good deal when used with robust state observer converging in finit time. A robust on-line estimation of State Of Charge is developped. We propose a reduced complexity and Sliding Mode Observer for battery SOC estimation. We review some of the litterature Electrical models and develop their state space formulation. The SMO robust observers are developped and compared in some simulations to emphasize the observers performance.", 
    "editor": [
      {
        "familyName": "M\u2019Sirdi", 
        "givenName": "Nacer", 
        "type": "Person"
      }, 
      {
        "familyName": "Namaane", 
        "givenName": "Aziz", 
        "type": "Person"
      }, 
      {
        "familyName": "Howlett", 
        "givenName": "Robert J.", 
        "type": "Person"
      }, 
      {
        "familyName": "Jain", 
        "givenName": "Lakhmi C.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-27509-8_11", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-27508-1", 
        "978-3-642-27509-8"
      ], 
      "name": "Sustainability in Energy and Buildings", 
      "type": "Book"
    }, 
    "name": "Battery Models for Estimation of State of Charge by Sliding Mode Observer", 
    "pagination": "133-149", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-27509-8_11"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c3647880cacf04b1b4f9a398b20e47270b1392c9b1feb7bbd2c0ebbbf1982c3b"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1041017166"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-27509-8_11", 
      "https://app.dimensions.ai/details/publication/pub.1041017166"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T17:15", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8678_00000268.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-642-27509-8_11"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-27509-8_11'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-27509-8_11'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-27509-8_11'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-27509-8_11'


 

This table displays all metadata directly associated to this object as RDF triples.

195 TRIPLES      23 PREDICATES      60 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-27509-8_11 schema:about anzsrc-for:01
2 anzsrc-for:0102
3 schema:author Nf4adf74942b7462aa0cbeebabecd2a37
4 schema:citation https://doi.org/10.1002/aic.690210103
5 https://doi.org/10.1016/0378-7753(94)02109-g
6 https://doi.org/10.1016/j.conengprac.2005.03.027
7 https://doi.org/10.1016/j.enconman.2007.05.017
8 https://doi.org/10.1016/j.jpowsour.2004.02.032
9 https://doi.org/10.1016/j.jpowsour.2006.04.146
10 https://doi.org/10.1016/s0378-7753(01)00560-2
11 https://doi.org/10.1016/s0378-7753(02)00190-8
12 https://doi.org/10.1016/s0378-7753(02)00193-3
13 https://doi.org/10.1016/s0378-7753(03)00282-9
14 https://doi.org/10.1016/s0378-7753(99)00079-8
15 https://doi.org/10.1016/s0378-7753(99)00502-9
16 https://doi.org/10.1080/0020717031000099029
17 https://doi.org/10.1080/10241230306724
18 https://doi.org/10.1109/49.932692
19 https://doi.org/10.1109/59.898088
20 https://doi.org/10.1109/60.124547
21 https://doi.org/10.1109/60.986432
22 https://doi.org/10.1109/92.953497
23 https://doi.org/10.1109/acc.2001.945964
24 https://doi.org/10.1109/apec.1999.750438
25 https://doi.org/10.1109/bcaa.1997.574106
26 https://doi.org/10.1109/ias.2003.1257769
27 https://doi.org/10.1109/iecec.1996.553872
28 https://doi.org/10.1109/tec.2006.874229
29 https://doi.org/10.1109/tpel.2004.836680
30 https://doi.org/10.1109/tvt.2004.842461
31 https://doi.org/10.1145/309847.310089
32 https://doi.org/10.1149/1.1393490
33 https://doi.org/10.1149/1.2221597
34 https://doi.org/10.3390/en3091586
35 https://doi.org/10.3390/en3101654
36 https://doi.org/10.5370/jeet.2006.1.1.008
37 schema:datePublished 2012
38 schema:datePublishedReg 2012-01-01
39 schema:description This paper presents an analysis of the equivalent circuits proposed for modeling some batteries behaviour. This will show that a third order state space model can be a good deal when used with robust state observer converging in finit time. A robust on-line estimation of State Of Charge is developped. We propose a reduced complexity and Sliding Mode Observer for battery SOC estimation. We review some of the litterature Electrical models and develop their state space formulation. The SMO robust observers are developped and compared in some simulations to emphasize the observers performance.
40 schema:editor N25abab878c284feb978d893938c9b3e2
41 schema:genre chapter
42 schema:inLanguage en
43 schema:isAccessibleForFree false
44 schema:isPartOf Nf40d140b92024080b60168950628a2d2
45 schema:name Battery Models for Estimation of State of Charge by Sliding Mode Observer
46 schema:pagination 133-149
47 schema:productId N41d56b168f6c4977bb482ccf46ea3761
48 N65e0bd3bb59c4af9a60cb320c7cce0e6
49 Nc0cb7c4e5c534f3aa1a34a22f741ac06
50 schema:publisher N3dd5b83ecda244c18e07907e757da1ed
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041017166
52 https://doi.org/10.1007/978-3-642-27509-8_11
53 schema:sdDatePublished 2019-04-15T17:15
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N4f034a21ad6e41bfa411cc4d23a2c3a1
56 schema:url http://link.springer.com/10.1007/978-3-642-27509-8_11
57 sgo:license sg:explorer/license/
58 sgo:sdDataset chapters
59 rdf:type schema:Chapter
60 N01ab01c22d1544fb884149a282ad1f24 schema:name University of OumBouaghi, Algeria
61 rdf:type schema:Organization
62 N09fd073c54d34ab98a9a9f995cdd383f schema:familyName Jain
63 schema:givenName Lakhmi C.
64 rdf:type schema:Person
65 N0b4bc11b28dc448d80ecb9e38fd8bab3 rdf:first N09fd073c54d34ab98a9a9f995cdd383f
66 rdf:rest rdf:nil
67 N25abab878c284feb978d893938c9b3e2 rdf:first N50afea6a016d4f35bfdffd54a29dd5f7
68 rdf:rest N976adb4c7ee24c1696e4392b20167712
69 N3dd5b83ecda244c18e07907e757da1ed schema:location Berlin, Heidelberg
70 schema:name Springer Berlin Heidelberg
71 rdf:type schema:Organisation
72 N41d56b168f6c4977bb482ccf46ea3761 schema:name readcube_id
73 schema:value c3647880cacf04b1b4f9a398b20e47270b1392c9b1feb7bbd2c0ebbbf1982c3b
74 rdf:type schema:PropertyValue
75 N4f034a21ad6e41bfa411cc4d23a2c3a1 schema:name Springer Nature - SN SciGraph project
76 rdf:type schema:Organization
77 N50afea6a016d4f35bfdffd54a29dd5f7 schema:familyName M’Sirdi
78 schema:givenName Nacer
79 rdf:type schema:Person
80 N65e0bd3bb59c4af9a60cb320c7cce0e6 schema:name dimensions_id
81 schema:value pub.1041017166
82 rdf:type schema:PropertyValue
83 N976adb4c7ee24c1696e4392b20167712 rdf:first Ncc97787234394957a21aa67b888c75bd
84 rdf:rest Ne298dd75738344eeb0361e86976a38e3
85 N9dad16a8e56f40deb6674667c6ccadef rdf:first sg:person.012246461425.39
86 rdf:rest Nc02a8634386546ac86a261cbc115b7ff
87 Nb5cd0800bbdd45c5b4b62e5b3bab8b40 schema:familyName Howlett
88 schema:givenName Robert J.
89 rdf:type schema:Person
90 Nc02a8634386546ac86a261cbc115b7ff rdf:first sg:person.015204121402.60
91 rdf:rest rdf:nil
92 Nc0cb7c4e5c534f3aa1a34a22f741ac06 schema:name doi
93 schema:value 10.1007/978-3-642-27509-8_11
94 rdf:type schema:PropertyValue
95 Ncc97787234394957a21aa67b888c75bd schema:familyName Namaane
96 schema:givenName Aziz
97 rdf:type schema:Person
98 Ne298dd75738344eeb0361e86976a38e3 rdf:first Nb5cd0800bbdd45c5b4b62e5b3bab8b40
99 rdf:rest N0b4bc11b28dc448d80ecb9e38fd8bab3
100 Nf40d140b92024080b60168950628a2d2 schema:isbn 978-3-642-27508-1
101 978-3-642-27509-8
102 schema:name Sustainability in Energy and Buildings
103 rdf:type schema:Book
104 Nf4adf74942b7462aa0cbeebabecd2a37 rdf:first sg:person.07726263130.51
105 rdf:rest N9dad16a8e56f40deb6674667c6ccadef
106 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
107 schema:name Mathematical Sciences
108 rdf:type schema:DefinedTerm
109 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
110 schema:name Applied Mathematics
111 rdf:type schema:DefinedTerm
112 sg:person.012246461425.39 schema:affiliation N01ab01c22d1544fb884149a282ad1f24
113 schema:familyName Belhani
114 schema:givenName Ahmed
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012246461425.39
116 rdf:type schema:Person
117 sg:person.015204121402.60 schema:affiliation https://www.grid.ac/institutes/grid.462878.7
118 schema:familyName Naamane
119 schema:givenName Aziz
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015204121402.60
121 rdf:type schema:Person
122 sg:person.07726263130.51 schema:affiliation https://www.grid.ac/institutes/grid.462878.7
123 schema:familyName M’Sirdi
124 schema:givenName Nacer K.
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07726263130.51
126 rdf:type schema:Person
127 https://doi.org/10.1002/aic.690210103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043840957
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/0378-7753(94)02109-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1038406755
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.conengprac.2005.03.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007082351
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.enconman.2007.05.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000765730
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.jpowsour.2004.02.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039879867
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.jpowsour.2006.04.146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000460950
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/s0378-7753(01)00560-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053361366
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/s0378-7753(02)00190-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008954092
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/s0378-7753(02)00193-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025407204
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/s0378-7753(03)00282-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009407765
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/s0378-7753(99)00079-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048980377
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/s0378-7753(99)00502-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021359990
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1080/0020717031000099029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028915506
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1080/10241230306724 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058357667
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1109/49.932692 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061178638
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1109/59.898088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061195001
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1109/60.124547 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061196849
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1109/60.986432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061198188
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1109/92.953497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061248676
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1109/acc.2001.945964 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093946369
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1109/apec.1999.750438 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094082810
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1109/bcaa.1997.574106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093628372
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1109/ias.2003.1257769 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094795763
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1109/iecec.1996.553872 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094747058
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1109/tec.2006.874229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061589171
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1109/tpel.2004.836680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061755717
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1109/tvt.2004.842461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061818550
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1145/309847.310089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052137444
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1149/1.1393490 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043866990
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1149/1.2221597 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032461481
186 rdf:type schema:CreativeWork
187 https://doi.org/10.3390/en3091586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010747369
188 rdf:type schema:CreativeWork
189 https://doi.org/10.3390/en3101654 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021354545
190 rdf:type schema:CreativeWork
191 https://doi.org/10.5370/jeet.2006.1.1.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047178577
192 rdf:type schema:CreativeWork
193 https://www.grid.ac/institutes/grid.462878.7 schema:alternateName Laboratoire des Sciences de l'Information et des Systèmes
194 schema:name Laboratoire des Sciences de l’Information et Systemes (LSIS), CNRS UMR 6168, Domaine Universitaire Saint-Jerome, Avenue Escadrille Normandie-Niemen, 13397 Marseille Cedex 20, France
195 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...