Volvo has boosted the range and power of its entry-level electric crossovers ⚡
EVs with a raft of efficiency tweaks and given them an uplift in power and a slightly higher price.
It also ushers in a change in drivetrain for the single-motor option, with power now sent solely to the rear wheels, which, This efficiency equates to around 20 miles of increased range per single-motor model although the Recharge Twin variants now have a quoted range of 316 and 312 miles – up around 40 miles.
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Ultra-sensitive and wide applicable strain sensor enabled by carbon nanofibers with dual alignment for human machine interfaces - Nano ResearchFlexible strain sensors with high sensitivity, wide detection range, and low detection limit have continuously attracted great interest due to their tremendous application potential in areas such as health/medical-care, human—machine interface, as well as safety and security. While both of a high sensitivity and a wide working range are desired key parameters for a strain sensor, they are usually contrary to each other to be achieved on the same sensor due to the tightly structure dependence of both of them. Here, a flexible strain sensor with both high sensitivity and wide strain detection range is prepared based on the design of an integrated membrane containing both of parallel aligned and randomly aligned carbon nanofibers (CNFs). The parallel aligned CNF membrane (p-CNF) exhibits a low strain detection limit and high sensitivity, while the random aligned CNF membrane (r-CNF) exhibits a large strain detection range. Taking the advantages of both p-CNF and r-CNF, the strain sensor with stacked p-CNF and r-CNF (p/r-CNF) exhibits both high sensitivity and wide working range. Its gauge factor (GF) is 1,272 for strains under 0.5% and 2,266 for strain from 70% to 100%. At the same time, it can work in a wide strain range of 0.005% to 100%, fulfilling the requirements for accurately detecting full-range human motions. We demonstrated its applications in the recognition of facial expressions and joint movements. Furtherly, we constructed an intelligent lip-language recognition system, which can accurately track phonetic symbols and may help people with language disabilities, proving the potential of this strain sensor in health management and medical assistance. Besides, we foresee that the dual-alignment structure design of the p/r-CNF strain sensor may also be applied in the design of other high performance sensors.
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