In today's electric vehicle batteries, a single weak cell can limit the life of the entire battery pack, even when the other cells are still working well. The goal is for future batteries to be able to bypass weak cells and make better use of the remaining capacity. A study, led by researchers at Chalmers University of Technology, in Sweden, now shows that a new ‘smart battery architecture’, under optimal conditions, can give electric vehicle batteries over 20 percent longer life in certain vehicles. At the same time, the total cost can be reduced over the battery's lifetime. 

The University of Osaka, D3 Center, SANKEN, and NEC Corporation, have jointly developed RED-ONION (Research EnhanceD Osaka university Next-generation Infrastructure for Open research and innovatioN), a next-generation data transfer infrastructure designed to securely and rapidly transfer large volumes of research data—including sensitive data related to genomics and healthcare, as well as the results of its analysis and processing—in both directions between the D3 Center and SANKEN on the university’s Suita Campus. The infrastructure is scheduled to begin pilot operation in October 2026.

Early fire detection systems that are highly sensitive are essential for reducing the impact of fire disasters. However, their development still faces significant challenges due to the lack of capability for simultaneous monitoring of both temperature and gas. Herein, we propose a facile coaxial wet-spinning strategy to fabricate a dual-parameter fiber sensor capable of simultaneously detecting carbon monoxide (CO) and temperature for early combustion warning. The resulting core–sheath structured fiber consists of a CO sensing sheath made of SnO₂/In₂O₃ heterojunction/aramid nanofiber (ANF)/silver nanowire composite with biomimetic gradient pores, an ANF isolation layer, and a temperature sensing core composed of MXene. The gradient porous sheath constructed by gradient-induced phase separation technology exhibits gradually decreasing pore sizes from outer (> 10 μm) to inner (< 3 μm) regions. This structure demonstrates a significant enhancement in the fiber sensor’s sensitivity to CO, achieving a 15% higher response compared to non-gradient porous structures (ΔR/R₀ = 0.95%/ppm; detection limit of 10 ppm), with the response time reduced to 19.28 s, surpassing the response speed of most fire-warning fibers. Additionally, this fiber sensor can rapidly monitor abnormal temperature increases, enabling flame alarm functionality within 3 s. It also achieves precise real-time temperature detection within the range of 50–300 °C, exhibiting high sensitivity (20.6 μV K⁻¹) and a strong linear correlation (R² = 0.99). This work highlights the significant potential of gradient pore in enhancing CO sensing and offers a novel perspective for the design of ultrafast early fire-warning fiber sensors.