Abstract
This article presents a path planning strategy with ant colony algorithm for series connected batteries. The motive of this paper is the increasing need for efficient and fast equalization for Lithium-ion batteries. There are many great papers on the design of the equalization circuits. However, they lack the part of path planning strategy for the balancing circuits. To solve this issue, we adopt the graph model to represent the balancing paths among different battery cells and then construct two optimal models based on the best efficiency and speed, respectively. Finally, ant colony algorithm is used to solve these two models. This makes it possible to achieve different goals according to the practical operating conditions. We validate the function of the proposed path planning strategy through an example of 13 series connected battery balancing system.
Highlights
To provide adequate/sufficient power rate for the systems such as uninterruptible power supply, electric vehicles, etc., the power cells are usually used in series connection
The ant colony optimization algorithm is developed by Doctor Dorigo, which is an intelligent search algorithm by long-term tracking the behavior of the ant colony
This paper presents a path planning algorithm with ant colony algorithm for series-connected batteries using Graph Theory methods to maximize the balancing efficiency or speed under safe operating conditions
Summary
To provide adequate/sufficient power rate for the systems such as uninterruptible power supply, electric vehicles, etc., the power cells are usually used in series connection. The ant colony optimization algorithm is developed by Doctor Dorigo, which is an intelligent search algorithm by long-term tracking the behavior of the ant colony. The algorithm has been widely used, from TSP to data mining, telecommunication route optimization, robot path planning, deep learning, image processing, secondary distribution, and has achieved very good results [20,21,22,23,24]. This paper presents a path planning algorithm with ant colony algorithm for series-connected batteries using Graph Theory methods to maximize the balancing efficiency or speed under safe operating conditions.
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