Week 25-31 March 2019
Welcome to the new edition of the Last Week In Batteries digest!
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This is a very basic review of last week's events relevant to the battery and fuel cell industries. We do not pretend to be experts in this space but as investors we find such an overview helpful. The digest is intentionally very brief and dry and is intended as a demonstration rather as an end product. We'd love to hear what tools/software/platforms you use to stay abreast of the events in your industries of interest: please answer our anonymous questionnaire.
Hybrid cathode for Li-ion batteries
A team of researchers from the US and China have designed a hybrid sulfur cathode for Li-ion batteries that affords it both high gravimetric energy density (energy per unit of weight) and high volumetric energy density (energy per unit of volume).
Impact areas: Li-ion battery capacity
New approach for dual-ion batteries
Chinese scientists have designed "a novel" aluminum-graphite dual-ion battery with integrated electrodes.
Impact areas: Dual-ion batteries
Machine learning predicts useful life of Li-ion batteries
Stanford researchers have developed a machine learning algorithm that predicts the useful life of Li-ion batteries after just a few charge-discharge cycles. They have also published their dataset. This algorithm and data can be useful for sorting batteries during manufacturing, for better battery management and for developing new batteries by shortening testing times.
Impact areas: Li-ion battery performance and durability, Battery research
High-performance solid-electrolyte-interface for Li-ion batteries
Researchers from Shanghai Jiao Tong University, MIT and Carnegie Mellon University have designed "a highly ionic and compact [solid-electrolyte-interface] that shows excellent cycling performance in LiCoO2_2-Li full cells at practical current densities."
Impact areas: Li-ion battery durability
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