Javascript must be enabled to continue!
A Fuzzy Control Based Parallel Filling Valley Equalization Circuit
View through CrossRef
Aiming at the problem of high cost and slow equalization speed in traditional circuit, a parallel filling valley equalization circuit based on fuzzy control is proposed in this paper. A fuzzy controller suitable for the circuit is designed. The average voltage, voltage range and the balance electric quantity of the battery pack are modeled by fuzzy model. The fuzzy reasoning and defuzzification is produced to optimize the circuit control logic, which can be adapted to the nonlinearity of the battery pack and the uncertainty of the battery parameters. The simulation and experiment results show that, in the process of charging and discharging, the fuzzy control based parallel filling valley equalization circuit has the advantage of fast and efficient equalization which can improve the use efficiency of the battery pack.
Title: A Fuzzy Control Based Parallel Filling Valley Equalization Circuit
Description:
Aiming at the problem of high cost and slow equalization speed in traditional circuit, a parallel filling valley equalization circuit based on fuzzy control is proposed in this paper.
A fuzzy controller suitable for the circuit is designed.
The average voltage, voltage range and the balance electric quantity of the battery pack are modeled by fuzzy model.
The fuzzy reasoning and defuzzification is produced to optimize the circuit control logic, which can be adapted to the nonlinearity of the battery pack and the uncertainty of the battery parameters.
The simulation and experiment results show that, in the process of charging and discharging, the fuzzy control based parallel filling valley equalization circuit has the advantage of fast and efficient equalization which can improve the use efficiency of the battery pack.
Related Results
Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson
Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson
Abstract. Fuzzy Inference System requires several stages to get the output, 1) formation of fuzzy sets, 2) formation of rules, 3) application of implication functions, 4) compositi...
Generated Fuzzy Quasi-ideals in Ternary Semigroups
Generated Fuzzy Quasi-ideals in Ternary Semigroups
Here in this paper, we provide characterizations of fuzzy quasi-ideal in terms of level and strong level subsets. Along with it, we provide expression for the generated fuzzy quasi...
New Approaches of Generalised Fuzzy Soft sets on fuzzy Codes and Its Properties on Decision-Makings
New Approaches of Generalised Fuzzy Soft sets on fuzzy Codes and Its Properties on Decision-Makings
Background Several scholars defined the concepts of fuzzy soft set theory and their application on decision-making problem. Based on this concept, researchers defined the generalis...
Perbaikan Kualitas Citra Menggunakan Metode Fuzzy Type-2
Perbaikan Kualitas Citra Menggunakan Metode Fuzzy Type-2
Image enhancement is applied to an image that has low contrast. Histogram Equalization (HE) is a general method used to improve the quality of an image. However, its drawback is f...
Different methods of longwall full mining partial filling and optimal design of filling process
Different methods of longwall full mining partial filling and optimal design of filling process
Abstract
Different methods of longwall full mining partial filling have been extensively studied to meet the special mining requirements of pressure coal resources and resi...
Fuzzy Chaotic Neural Networks
Fuzzy Chaotic Neural Networks
An understanding of the human brain’s local function has improved in recent years. But the cognition of human brain’s working process as a whole is still obscure. Both fuzzy logic ...
FUZZY RINGS AND ITS PROPERTIES
FUZZY RINGS AND ITS PROPERTIES
Abstract One of algebraic structure that involves a binary operation is a group that is defined an un empty set (classical) with an associative binary operation, it has identity e...
Fuzzy Semantic Models of Fuzzy Concepts in Fuzzy Systems
Fuzzy Semantic Models of Fuzzy Concepts in Fuzzy Systems
The fuzzy properties of language semantics are a central problem towards machine-enabled natural language processing in cognitive linguistics, fuzzy systems, and computational ling...

