Power prediction method of lithium-ion battery for unmanned vehicles based on combined constraint intelligence algorithm.
Ze ChengYuhan XingSilu ChengPeiyao GuoPublished in: Clust. Comput. (2019)
Keyphrases
- high accuracy
- computational cost
- detection method
- preprocessing
- detection algorithm
- prediction error
- cost function
- computational complexity
- theoretical analysis
- optimization algorithm
- dynamic programming
- significant improvement
- experimental evaluation
- improved algorithm
- synthetic and real images
- matching algorithm
- prediction algorithm
- optimization method
- high efficiency
- clustering method
- segmentation algorithm
- similarity measure
- objective function
- support vector machine svm
- input data
- k means
- computationally efficient
- estimation algorithm
- recognition algorithm
- prediction model
- path planning
- classification algorithm
- classification method
- learning algorithm
- tree structure
- segmentation method
- energy function
- probabilistic model
- expectation maximization
- reconstruction method
- np hard
- power consumption
- selection algorithm
- search space
- optimal solution
- simulated annealing
- neural network
- graph cuts