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Materials design and integration strategies for next-generation smart batteries

Wang, Hailong; Xiong, Qianjin; Sun, Nuo; Rong, Qinlang; Wu, Zhenguo; Passerini, Stefano 1; He, Xin 2
1 Helmholtz-Institut Ulm (HIU), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)

Abstract:

Next-generation energy storage systems for electric vehicles, aviation and grid-scale applications require batteries with higher safety, longer lifetime and greater adaptability than conventional lithium-ion cells. This demand is driving a transition from passive energy-storage devices towards smart battery systems that can regulate local degradation, perceive hidden internal states and support decision-oriented management. From a materials perspective, this transition relies on two coupled capabilities. The first is autonomous regulation by responsive materials, including self-maintaining electrodes and interfaces, self-adaptive electrolytes and interlayers and self-defensive separators or current collectors that respond to cell-relevant mechanical, thermal, electrochemical or chemical perturbations. The second is battery-integrated perception, in which sensing and transduction materials convert local temperature, strain, pressure, gas, potential, optical or acoustic signatures into readable signals for diagnosis and safety warning. Data-driven and artificial intelligence-assisted methods further enable materials discovery, multimodal-signal interpretation and future battery-management decisions. ... mehr


Originalveröffentlichung
DOI: 10.1038/s41578-026-00957-9
Zugehörige Institution(en) am KIT Helmholtz-Institut Ulm (HIU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 2058-8437
KITopen-ID: 1000197435
Erschienen in Nature Reviews Materials
Verlag Nature Research
Seiten 1
Vorab online veröffentlicht am 17.09.2026
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