Electrochromic Effect of Indium Tin Oxide in Lithium Iron Phosphate Battery Cathodes for State-of-Charge Determination

2018 ◽  
Vol 11 (7) ◽  
pp. 6900-6906 ◽  
Author(s):  
Valentin Roscher ◽  
Florian Rittweger ◽  
Karl-Ragmar Riemschneider
Keyword(s):  
Tin Oxide ◽  
Indium Tin Oxide ◽  
Lithium Iron Phosphate ◽  
Iron Phosphate ◽  
State Of Charge ◽  
Electrochromic Effect ◽  
Charge Determination

Particle filter for state of charge and state of health estimation for lithium–iron phosphate batteries

2013 ◽  
Vol 239 ◽  
pp. 705-710 ◽  
Author(s):  
Simon Schwunk ◽  
Nils Armbruster ◽  
Sebastian Straub ◽  
Johannes Kehl ◽  
Matthias Vetter
Keyword(s):  
Particle Filter ◽  
Lithium Iron Phosphate ◽  
Iron Phosphate ◽  
State Of Charge ◽  
State Of Health

Improved Method for State of Charge Estimation of Lithium Iron Phosphate Power Batteries

2013 ◽  
Vol 712-715 ◽  
pp. 1956-1959 ◽  
Author(s):  
Ming Li ◽  
Yang Jiang ◽  
Jian Zhong Zheng ◽  
Xiao Xiao Peng
Keyword(s):  
Lithium Iron Phosphate ◽  
Estimation Method ◽  
Iron Phosphate ◽  
Open Circuit ◽  
State Of Charge ◽  
Counting Method ◽  
Initial State ◽  
Soc Estimation ◽  
Power Battery ◽  
Environment Temperature

To resolve the problems that the initial state of charge (SOC) and the available capacity of batteries are difficult to estimate when using the Ah counting method, in this paper An improved SOC estimation method was proposed that combined with the open circuit voltage (OCV) method and Ah counting method based on the analysis and consideration of the battery available capacity variation caused by charge and discharge current, environment temperature and battery state of health (SOH). The precision of the proposed method was validated by using Federal Urban Driving Schedule (FUDS) test of a Lithium iron phosphate (LiFePO4) power battery. The SOC estimate error using the proposed method relative to a discharge test was better than the Ah counting method.

Modeling for Lithium Iron Phosphate Battery and its Simulation in PSCAD

2013 ◽  
Vol 331 ◽  
pp. 250-253
Author(s):  
Lin Qi ◽  
Yong Qiang Zhu ◽  
Zhi Yu Wang ◽  
Chun Peng Fu
Keyword(s):  
Lithium Iron Phosphate ◽  
Iron Phosphate ◽  
State Of Charge ◽  
Nonlinear Characteristics ◽  
Battery Charging ◽  
Depth Of Discharge ◽  
Current Voltage ◽  
Simulation Results ◽  
The Relationship ◽  
Charge Discharge

This paper proposes an improved dynamic model of lithium iron phosphate battery, and shows the simulation results. The method takes into account the nonlinear characteristics of the battery charging and discharging, and changes the variation of battery resistance into that of voltage, which makes the simulation circuit simpler and easier to be implemented. Simulations examine the time-changing characteristics of the state of charge (SOC), depth of discharge and the current/voltage in the charge/discharge processes, as well as the relationship between voltage and SOC. The model has correctively shown the dynamic characteristics of lithium iron phosphate battery in our simulations.

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