A unified discharge voltage characteristic for VRLA battery capacity and reserve time estimation

2004 ◽  
Vol 45 (2) ◽  
pp. 277-302 ◽  
Author(s):  
Phillip E. Pascoe ◽  
Adnan H. Anbuky
Keyword(s):  
Time Estimation ◽  
Discharge Voltage ◽  
Voltage Characteristic ◽  
Battery Capacity ◽  
Vrla Battery ◽  
Reserve Time

VRLA Battery Discharge Reserve Time Estimation

2004 ◽  
Vol 19 (6) ◽  
pp. 1515-1522 ◽  
Author(s):  
P.E. Pascoe ◽  
A.H. Anbuky
Keyword(s):  
Time Estimation ◽  
Battery Discharge ◽  
Vrla Battery ◽  
Reserve Time

A Design of Charger with Intelligent Charging and Capacity Detection

2012 ◽  
Vol 263-266 ◽  
pp. 64-68
Author(s):  
Wen Juan Wang ◽  
Guang Xi Zheng ◽  
Wei Dong Lu
Keyword(s):  
Circuit Design ◽  
Calculated Data ◽  
Discharge Voltage ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Charge Capacity ◽  
Voltage Curve ◽  
Battery Capacity ◽  
Current Curve ◽  
Charge Discharge

This is a design of intelligent charger with battery capacity detection based on STC12C5AS2 single chip microcomputer. By connecting PC, users could set cut-off charge-discharge voltage and current directly to get monitor the no-man. It realized to judge limiting voltage and current automatically and has intelligent floating and trickle charge. The users could see voltage curve, current curve, percent of charge, capacity both charge and discharge respects. Here, we introduced partly, including simply circuit design and offered our photo both circuit and real device. We focus to detail program design of PC end in the paper. We used double buffer technique to solve flicker phenomenon. Meanwhile, when we designed and performed repeatedly, we found another good ways to save CPU and reduce volume of calculation. That is that we created another two container to save calculated data so to plot more fast when grid is in unchanged.

scholarly journals State-of-Charge Monitoring and Battery Diagnosis of Different Lithium Ion Chemistries Using Impedance Spectroscopy

Batteries ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 17
Author(s):  
Peter Kurzweil ◽  
Wolfgang Scheuerpflug
Keyword(s):  
Impedance Spectroscopy ◽  
Lithium Iron Phosphate ◽  
Linear Trend ◽  
Lithium Ion ◽  
Iron Phosphate ◽  
Discharge Voltage ◽  
State Of Charge ◽  
Constant Current ◽  
Impedance Method ◽  
Battery Capacity

For lithium iron phosphate batteries (LFP) in aerospace applications, impedance spectroscopy is applicable in the flat region of the voltage-charge curve. The frequency-dependent pseudocapacitance at 0.15 Hz is presented as useful state-of-charge (SOC) and state-of-health (SOH) indicator. For the same battery type, the prediction error of pseudocapacitance is better than 1% for a quadratic calibration curve, and less than 36% for a linear model. An approximately linear correlation between pseudocapacitance and Ah battery capacity is observed as long as overcharge and deep discharge are avoided. We verify the impedance method in comparison to the classical constant-current discharge measurements. In the case of five examined lithium-ion chemistries, the linear trend of impedance and SOC is lost if the slope of the discharge voltage curve versus SOC changes. With nickel manganese cobalt (NMC), high impedance modulus correlates with high SOC above 70%.

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