An Analytical Model for Lithium-Ion Batteries Based on Genetic Programming Approach
Author:
Affiliation:
1. University of Cassino and Southern Lazio,DIEI,Cassino,Italy
2. EXELING Srl,Avellino,Italy
3. Sapienza University of Rome,DIAEE,Rome,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219091/10219092/10219104.pdf?arnumber=10219104
Reference21 articles.
1. Challenges in modeling high power lithium titanate oxide cells in battery management systems
2. Using Genetic Programming to Learn Behavioral Models of Lithium Batteries
3. A comparison of crossover and mutation in genetic programming;luke;Genetic Programming,1997
4. An Electrical Equivalent Circuit Model of a Lithium Titanate Oxide Battery
5. Quantifying non-monotonicity of functions and the lack of positivity in signed measures
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