On-line measurement system for internal resistance in lead acid battery

Author(s):  
Kyoji Nakajo ◽  
Sampath Kumarasinghe ◽  
Yuki Shimamura ◽  
Shuji Takahashi ◽  
Kazuhiro Motegi ◽  
...  
2006 ◽  
Author(s):  
Yongcai Yang ◽  
Junsan Ma ◽  
Rimin Pan ◽  
Xiang Yu

2011 ◽  
Vol 301-303 ◽  
pp. 959-964 ◽  
Author(s):  
Da Lin Cheng ◽  
Yi Wang ◽  
Yong Jie Ren ◽  
Xue You Yang

A novel crankshaft and camshaft measurement system by optoelectronic scanning of which a flat-crystal was used to generate high depth of parallelism scanning laser was implemented. The general structure and principle were given. Mass of test results showed that the system could achieve high precision. The ranges could achieve ±8μm, standard deviation could achieve 3μm, and easy to operate, work reliably, automatically and on line measurement could be implemented.


2005 ◽  
Vol 295-296 ◽  
pp. 381-386 ◽  
Author(s):  
Liang Chia Chen ◽  
J.Y. Sun ◽  
Tsing Tshih Tsung ◽  
H. Chang ◽  
Hong Ming Lin

This article presents the development of an automatic on-line measurement system for characterizing a nanoparticle manufacturing process known as Arc Spray Nanoparticle Synthesis System (ASNSS). The ASNSS has been developed to generate metal nanoparticles and to explore the optimum system parameters for producing the desired nanopowders. Preliminary experimental results indicate that the size of nanoparticles, widely ranging from 10nm to 300nm, is significantly affected by the process parameters such as operating pressure, temperature, electrical current and type of dielectric liquid used. The on-line measurement system was developed to provide an effective multi-solution for characterizing the nanoparticle synthesis process and for monitoring the manufacturing quality of the ASNSS. Experiments were conducted to identify the optimum sampling period and volume of the particle suspension for accurate sampling and data acquisition. Experimental results revealed that a sampling duration of 20 minutes and a dielectric volume of 40 c.c. can achieve effective data representation while maximizing the sampling efficiency.


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