Material cost model for innovative li-ion battery cells in electric vehicle applications
Abstract Due to global warming and the rise of the $ CO_{2} $ emissions electric mobility is in the focus. In this case costs for li-ion batteries and especially the material costs are the main cost drivers for electric vehicles. The aim of this paper is to develop a material cost model which can ev...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Petri, Ralf [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Anmerkung: |
© Korean Society for Precision Engineering 2015 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of precision engineering and manufacturing-green technology - Berlin : Springer, 2014, 2(2015), 3 vom: Juli, Seite 263-268 |
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| Übergeordnetes Werk: |
volume:2 ; year:2015 ; number:3 ; month:07 ; pages:263-268 |
| Links: |
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| DOI / URN: |
10.1007/s40684-015-0031-x |
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| Katalog-ID: |
SPR037301381 |
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| 520 | |a Abstract Due to global warming and the rise of the $ CO_{2} $ emissions electric mobility is in the focus. In this case costs for li-ion batteries and especially the material costs are the main cost drivers for electric vehicles. The aim of this paper is to develop a material cost model which can evaluate cell chemistry alternatives for li-ion battery anodes and cathodes. A focus is set on innovative cell chemistries which currently are not using in mass production. The presented model is based on bottom-up approach which can calculate costs and cell performance together to determine the ratio of material cost and energy. The general results are complemented with a case study that assesses that active material with a high specific energy can help reducing the material costs and improves cell performance parameters. | ||
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| 650 | 4 | |a Material costs li-ion battery |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Electric mobility |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Giebel, Tobias |4 aut | |
| 700 | 1 | |a Zhang, Bin |4 aut | |
| 700 | 1 | |a Schünemann, Jan-Hinnerk |4 aut | |
| 700 | 1 | |a Herrmann, Christoph |4 aut | |
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10.1007/s40684-015-0031-x doi (DE-627)SPR037301381 (SPR)s40684-015-0031-x-e DE-627 ger DE-627 rakwb eng Petri, Ralf verfasserin aut Material cost model for innovative li-ion battery cells in electric vehicle applications 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society for Precision Engineering 2015 Abstract Due to global warming and the rise of the $ CO_{2} $ emissions electric mobility is in the focus. In this case costs for li-ion batteries and especially the material costs are the main cost drivers for electric vehicles. The aim of this paper is to develop a material cost model which can evaluate cell chemistry alternatives for li-ion battery anodes and cathodes. A focus is set on innovative cell chemistries which currently are not using in mass production. The presented model is based on bottom-up approach which can calculate costs and cell performance together to determine the ratio of material cost and energy. The general results are complemented with a case study that assesses that active material with a high specific energy can help reducing the material costs and improves cell performance parameters. Forecasting cost model (dpeaa)DE-He213 Material costs li-ion battery (dpeaa)DE-He213 Li-Ion battery performances (dpeaa)DE-He213 Electric mobility (dpeaa)DE-He213 Giebel, Tobias aut Zhang, Bin aut Schünemann, Jan-Hinnerk aut Herrmann, Christoph aut Enthalten in International journal of precision engineering and manufacturing-green technology Berlin : Springer, 2014 2(2015), 3 vom: Juli, Seite 263-268 (DE-627)780378865 (DE-600)2760378-7 2198-0810 nnns volume:2 year:2015 number:3 month:07 pages:263-268 https://dx.doi.org/10.1007/s40684-015-0031-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 2 2015 3 07 263-268 |
| spelling |
10.1007/s40684-015-0031-x doi (DE-627)SPR037301381 (SPR)s40684-015-0031-x-e DE-627 ger DE-627 rakwb eng Petri, Ralf verfasserin aut Material cost model for innovative li-ion battery cells in electric vehicle applications 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society for Precision Engineering 2015 Abstract Due to global warming and the rise of the $ CO_{2} $ emissions electric mobility is in the focus. In this case costs for li-ion batteries and especially the material costs are the main cost drivers for electric vehicles. The aim of this paper is to develop a material cost model which can evaluate cell chemistry alternatives for li-ion battery anodes and cathodes. A focus is set on innovative cell chemistries which currently are not using in mass production. The presented model is based on bottom-up approach which can calculate costs and cell performance together to determine the ratio of material cost and energy. The general results are complemented with a case study that assesses that active material with a high specific energy can help reducing the material costs and improves cell performance parameters. Forecasting cost model (dpeaa)DE-He213 Material costs li-ion battery (dpeaa)DE-He213 Li-Ion battery performances (dpeaa)DE-He213 Electric mobility (dpeaa)DE-He213 Giebel, Tobias aut Zhang, Bin aut Schünemann, Jan-Hinnerk aut Herrmann, Christoph aut Enthalten in International journal of precision engineering and manufacturing-green technology Berlin : Springer, 2014 2(2015), 3 vom: Juli, Seite 263-268 (DE-627)780378865 (DE-600)2760378-7 2198-0810 nnns volume:2 year:2015 number:3 month:07 pages:263-268 https://dx.doi.org/10.1007/s40684-015-0031-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 2 2015 3 07 263-268 |
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10.1007/s40684-015-0031-x doi (DE-627)SPR037301381 (SPR)s40684-015-0031-x-e DE-627 ger DE-627 rakwb eng Petri, Ralf verfasserin aut Material cost model for innovative li-ion battery cells in electric vehicle applications 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society for Precision Engineering 2015 Abstract Due to global warming and the rise of the $ CO_{2} $ emissions electric mobility is in the focus. In this case costs for li-ion batteries and especially the material costs are the main cost drivers for electric vehicles. The aim of this paper is to develop a material cost model which can evaluate cell chemistry alternatives for li-ion battery anodes and cathodes. A focus is set on innovative cell chemistries which currently are not using in mass production. The presented model is based on bottom-up approach which can calculate costs and cell performance together to determine the ratio of material cost and energy. The general results are complemented with a case study that assesses that active material with a high specific energy can help reducing the material costs and improves cell performance parameters. Forecasting cost model (dpeaa)DE-He213 Material costs li-ion battery (dpeaa)DE-He213 Li-Ion battery performances (dpeaa)DE-He213 Electric mobility (dpeaa)DE-He213 Giebel, Tobias aut Zhang, Bin aut Schünemann, Jan-Hinnerk aut Herrmann, Christoph aut Enthalten in International journal of precision engineering and manufacturing-green technology Berlin : Springer, 2014 2(2015), 3 vom: Juli, Seite 263-268 (DE-627)780378865 (DE-600)2760378-7 2198-0810 nnns volume:2 year:2015 number:3 month:07 pages:263-268 https://dx.doi.org/10.1007/s40684-015-0031-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 2 2015 3 07 263-268 |
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10.1007/s40684-015-0031-x doi (DE-627)SPR037301381 (SPR)s40684-015-0031-x-e DE-627 ger DE-627 rakwb eng Petri, Ralf verfasserin aut Material cost model for innovative li-ion battery cells in electric vehicle applications 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society for Precision Engineering 2015 Abstract Due to global warming and the rise of the $ CO_{2} $ emissions electric mobility is in the focus. In this case costs for li-ion batteries and especially the material costs are the main cost drivers for electric vehicles. The aim of this paper is to develop a material cost model which can evaluate cell chemistry alternatives for li-ion battery anodes and cathodes. A focus is set on innovative cell chemistries which currently are not using in mass production. The presented model is based on bottom-up approach which can calculate costs and cell performance together to determine the ratio of material cost and energy. The general results are complemented with a case study that assesses that active material with a high specific energy can help reducing the material costs and improves cell performance parameters. Forecasting cost model (dpeaa)DE-He213 Material costs li-ion battery (dpeaa)DE-He213 Li-Ion battery performances (dpeaa)DE-He213 Electric mobility (dpeaa)DE-He213 Giebel, Tobias aut Zhang, Bin aut Schünemann, Jan-Hinnerk aut Herrmann, Christoph aut Enthalten in International journal of precision engineering and manufacturing-green technology Berlin : Springer, 2014 2(2015), 3 vom: Juli, Seite 263-268 (DE-627)780378865 (DE-600)2760378-7 2198-0810 nnns volume:2 year:2015 number:3 month:07 pages:263-268 https://dx.doi.org/10.1007/s40684-015-0031-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 2 2015 3 07 263-268 |
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10.1007/s40684-015-0031-x doi (DE-627)SPR037301381 (SPR)s40684-015-0031-x-e DE-627 ger DE-627 rakwb eng Petri, Ralf verfasserin aut Material cost model for innovative li-ion battery cells in electric vehicle applications 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Korean Society for Precision Engineering 2015 Abstract Due to global warming and the rise of the $ CO_{2} $ emissions electric mobility is in the focus. In this case costs for li-ion batteries and especially the material costs are the main cost drivers for electric vehicles. The aim of this paper is to develop a material cost model which can evaluate cell chemistry alternatives for li-ion battery anodes and cathodes. A focus is set on innovative cell chemistries which currently are not using in mass production. The presented model is based on bottom-up approach which can calculate costs and cell performance together to determine the ratio of material cost and energy. The general results are complemented with a case study that assesses that active material with a high specific energy can help reducing the material costs and improves cell performance parameters. Forecasting cost model (dpeaa)DE-He213 Material costs li-ion battery (dpeaa)DE-He213 Li-Ion battery performances (dpeaa)DE-He213 Electric mobility (dpeaa)DE-He213 Giebel, Tobias aut Zhang, Bin aut Schünemann, Jan-Hinnerk aut Herrmann, Christoph aut Enthalten in International journal of precision engineering and manufacturing-green technology Berlin : Springer, 2014 2(2015), 3 vom: Juli, Seite 263-268 (DE-627)780378865 (DE-600)2760378-7 2198-0810 nnns volume:2 year:2015 number:3 month:07 pages:263-268 https://dx.doi.org/10.1007/s40684-015-0031-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 2 2015 3 07 263-268 |
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Petri, Ralf @@aut@@ Giebel, Tobias @@aut@@ Zhang, Bin @@aut@@ Schünemann, Jan-Hinnerk @@aut@@ Herrmann, Christoph @@aut@@ |
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material cost model for innovative li-ion battery cells in electric vehicle applications |
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Material cost model for innovative li-ion battery cells in electric vehicle applications |
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Abstract Due to global warming and the rise of the $ CO_{2} $ emissions electric mobility is in the focus. In this case costs for li-ion batteries and especially the material costs are the main cost drivers for electric vehicles. The aim of this paper is to develop a material cost model which can evaluate cell chemistry alternatives for li-ion battery anodes and cathodes. A focus is set on innovative cell chemistries which currently are not using in mass production. The presented model is based on bottom-up approach which can calculate costs and cell performance together to determine the ratio of material cost and energy. The general results are complemented with a case study that assesses that active material with a high specific energy can help reducing the material costs and improves cell performance parameters. © Korean Society for Precision Engineering 2015 |
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Abstract Due to global warming and the rise of the $ CO_{2} $ emissions electric mobility is in the focus. In this case costs for li-ion batteries and especially the material costs are the main cost drivers for electric vehicles. The aim of this paper is to develop a material cost model which can evaluate cell chemistry alternatives for li-ion battery anodes and cathodes. A focus is set on innovative cell chemistries which currently are not using in mass production. The presented model is based on bottom-up approach which can calculate costs and cell performance together to determine the ratio of material cost and energy. The general results are complemented with a case study that assesses that active material with a high specific energy can help reducing the material costs and improves cell performance parameters. © Korean Society for Precision Engineering 2015 |
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Abstract Due to global warming and the rise of the $ CO_{2} $ emissions electric mobility is in the focus. In this case costs for li-ion batteries and especially the material costs are the main cost drivers for electric vehicles. The aim of this paper is to develop a material cost model which can evaluate cell chemistry alternatives for li-ion battery anodes and cathodes. A focus is set on innovative cell chemistries which currently are not using in mass production. The presented model is based on bottom-up approach which can calculate costs and cell performance together to determine the ratio of material cost and energy. The general results are complemented with a case study that assesses that active material with a high specific energy can help reducing the material costs and improves cell performance parameters. © Korean Society for Precision Engineering 2015 |
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