Artificial Fish Swarm Algorithm-Based Particle Filter for Li-Ion Battery Life Prediction
نویسندگان
چکیده
منابع مشابه
AN IMPROVED INTELLIGENT ALGORITHM BASED ON THE GROUP SEARCH ALGORITHM AND THE ARTIFICIAL FISH SWARM ALGORITHM
This article introduces two swarm intelligent algorithms, a group search optimizer (GSO) and an artificial fish swarm algorithm (AFSA). A single intelligent algorithm always has both merits in its specific formulation and deficiencies due to its inherent limitations. Therefore, we propose a mixture of these algorithms to create a new hybrid optimization algorithm known as the group search-artif...
متن کاملRemaining useful life prediction of lithium-ion battery with unscented particle filter technique
Accurate prediction of the remaining useful life of a faulty component is important to the prognosis and health management of a system. It gives operators information about when the component should be replaced. In recent years, a lot of research has been conducted on battery reliability and prognosis, especially the remaining useful life prediction of the lithium-ion batteries. Particle filter...
متن کاملA filter-based artificial fish swarm algorithm for constrained global optimization: theoretical and practical issues
This paper presents a filter-based artificial fish swarm algorithm for solving nonconvex constrained global optimization problems. Convergence to an ε-global minimizer is guaranteed. At each iteration k, the algorithm requires a (ρ(k),ε(k))-global minimizer of a bound constrained bi-objective subproblem, where as k→ ∞, ρ(k)→ 0 gives the constraint violation tolerance and ε(k)→ ε is the error bo...
متن کاملA Variable Neighborhood Particle Swarm Algorithm Based on the Visual of Artificial Fish
Inspired by the model of artificial fish school algorithm, a novel particle swarm optimizer with the increasing visual of artificial fish is presented after introducing the visual of artificial fish into particle swarm optimization. The neighborhood of each particle is dynamically changed through continually expand the visual of each particle. The local optimal strategy and the global optimal s...
متن کاملA Hybrid Clustering Algorithm Based on Improved Artificial Fish Swarm
K-medoids clustering algorithm is used to classify data, but the approach is sensitive to the initial selection of the centers and the divided cluster quality is not high. Basic Artificial Fish Swarm Algorithm is a new type of heuristic swarm intelligence algorithm, but optimization is difficult to get a very high precision due to the randomness of the artificial fish behavior. A novel clusteri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2014
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2014/564894