| Title: | Key Technologies of Lightweight Materials for New Energy Vehicles Based on Ant Colony Algorithm |
| Address: | "College of Physics and Engineering Technology, Chengdu Normal University, Chengdu, Sichuan 611130, China" |
| ISSN/ISBN: | 1687-5273 (Electronic) 1687-5265 (Print) |
| Abstract: | "From the perspective of the new energy vehicle, application of lightweight technology can effectively improve the endurance level of new energy vehicles and promote the steady improvement and rapid development of China's new energy vehicle industry. By keeping in view the importance of lightweight effect of new energy vehicles, in this paper, we have carried out an in-depth analysis of key contents such as new materials, battery weight, carbon fiber technology, and structural design technology in the process of lightweight development of new energy vehicles. Furthermore, this paper introduces the pseudorandom proportional rule to improve the selection method of the seed solution, makes appropriate random disturbance to the center of the pheromone distribution, and reforms the standard deviation of the pheromone distribution. Taking the lightweight of new energy vehicle doors as an example, this paper verifies the new energy vehicle lightweight algorithm based on ant colony algorithm. It is found that the improved continuous domain basic ant colony algorithm is superior to the other two algorithms and it has the capacity to solve optimization problems and has the advantages of high reliability" |
| Keywords: | *Algorithms Electric Power Supplies *Pheromones Reproducibility of Results Technology; |
| Notes: | "MedlineMei, Lin Xiaoke, Li eng 2022/06/28 Comput Intell Neurosci. 2022 Jun 17; 2022:1617814. doi: 10.1155/2022/1617814. eCollection 2022" |
