PHEV Cell with NanoLyte™ Electrolyte Passes Nail Puncture Test

机译：带有NanoLyte™电解质的PHEV电池通过钉刺测试

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NanoLyte™ Li-ion Battery Electrolyte with Non-flammable Functionalized Ionic Liquid shows improvement in large format PHEV cell abuse testing without compromising cell rate capability and power performance. Material properties of Functional Ionic Liquid and NanoLyte~(TM) Electrolyte are presented. DSC and Nail Puncture Temperature Data are shown.

机译：具有不可燃功能化离子液体的NanoLyte™锂离子电池电解质在不损害电池速率功能和功率性能的情况下，在大幅面PHEV细胞滥用测试中得到了改善。介绍了功能性离子液体和NanoLyteTM电解质的材料特性。显示了DSC和指甲穿刺温度数据。

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《AABC tracks 2017: xEV battery technology, application amp; market and chemistry amp; materials for lead-based batteries》|2017年|3-3|共1页
会议地点 San Francisco(US)
作者
Nathan Ball; Surya Moganty; Gabriel Torres;
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NOHMs Technologies, 1200 Ridgeway Avenue, Rochester, NY 14615 USA;

NOHMs Technologies, 1200 Ridgeway Avenue, Rochester, NY 14615 USA;

NOHMs Technologies, 1200 Ridgeway Avenue, Rochester, NY 14615 USA;

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3. PREMIUM FINISH NAILER PASSES THE TEST [J] . Justin Fink Fine Homebuilding . 2010,第208期

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4. PHEV Cell with NanoLyte™ Electrolyte Passes Nail Puncture Test [C] . Nathan Ball International advanced automotive battery conference;Conference on battery chemistries for automotive applications . 2017

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5. Performance Evaluation and Characterization of Lithium-Ion Cells under Simulated PHEVs Drive Cycles. [D] . Badami, Pavan Pramod. 2016

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6. Janzen’s mountain passes hypothesis is comprehensively tested in its fifth decade [O] . M. Alex Smith 2018

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7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

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PHEV Cell with NanoLyte™ Electrolyte Passes Nail Puncture Test

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