How to drive winning battery-electric-vehicle design : lessons from benchmarking ten Chinese models
Contenido multimedia no disponible por derechos de autor o por acceso restringido. Contacte con la institución para más información.
| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20200024750 | ||
| 003 | MAP | ||
| 005 | 20220912143641.0 | ||
| 008 | 180511e20200601usa|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a892 | ||
| 245 | 1 | 0 | $aHow to drive winning battery-electric-vehicle design $b: lessons from benchmarking ten Chinese models$cMauro Erriquez...[et al.] |
| 260 | $aNew York$bMcKinsey & Company$c2020 | ||
| 300 | $a15 p. | ||
| 490 | 0 | $aMcKinsey Center for Future Mobility | |
| 520 | 3 | $aMany automotive OEMs and suppliers in Europe, the United States, and Japan are starting largescale launches of battery electric vehicles (BEVs) in their core markets. But in China, a rapidly growing BEV market and ecosystem have already emerged. To help global automotive OEMs and suppliers truly understand the major challenges and opportunities of the Chinese BEV market, we analyzed ten BEVs that are popular in China in depth. We covered a large portion of the market, looking at vehicles from both incumbent OEMs and new players, including Buick, BYD, GAC, Geely, JAC, NIO, Roewe, SAIC, and Weltmeister. The companies included in our analysis cover 45 percent of the market with their complete BEV and EV portfolio. The benchmarking consisted of a detailed technical analysis, as well as a cost estimate down to the level of individual components. | |
| 650 | 4 | $0MAPA20100011164$aVehículos eléctricos | |
| 650 | 4 | $0MAPA20150019967$aVehículos autónomos | |
| 650 | 4 | $0MAPA20080617219$aIndustria automovilística | |
| 650 | 4 | $0MAPA20080586546$aNuevas tecnologías | |
| 650 | 4 | $0MAPA20080606787$aInnovación empresarial | |
| 650 | 4 | $0MAPA20080605674$aDesarrollo tecnológico | |
| 650 | 4 | $0MAPA20080594589$aAnálisis comparativo | |
| 650 | 4 | $0MAPA20110017835$aMovilidad | |
| 700 | 1 | $0MAPA20200016816$aErriquez, Mauro | |
| 700 | 1 | $0MAPA20200016823$aSchäfer, Philip | |
| 700 | 1 | $0MAPA20200016830$aSchwedhelm, Dennis | |
| 700 | 1 | $0MAPA20200016847$aWu, Ting | |
| 710 | 2 | $0MAPA20080442569$aMcKinsey & Company |