Second Optimization Method of Neural Network Driving Condition Identification Based on the Genetic Algorithm

Research Area: Volume 11, Issue 4, July 2022 Year: 2022
Type of Publication: Article Keywords: Plug-in Hybrid Electric Vehicle, Driving Cycle Prediction, Energy Management Strategy, Equivalent Fuel Consumption Minimization
  • Shipeng Li
  • Ruijun Liu
  • Dapai Shi
  • Jinlong Yang
  • Junjie Guo
  • Qingling Cai
Journal: IJEIR Volume: 11
Number: 4 Pages: 57-70
Month: July
ISSN: 2277-5668
In order to solve the problem that the low recognition rate of the driving condition reduces the control effect of the whole vehicle energy control strategy, this paper proposes an intelligent identification method of the driving condition which uses a genetic algorithm (GA) to optimize the back propagation neural network (BPNN) intelligent identification of driving conditions. First, 21 typical driving conditions are classified according to the dimension reduction characteristic values and the comprehensive driving condition is constructed. Second, the typical driving condition identification model is established by the K-means clustering and simulated. Then, the K-means condition identification model is optimized by the BPNN method and the BPNN condition identification model are simulated. Finally, the genetic algorithm is used to optimal the BPNN condition identification model, and the second optimization model of the BPNN condition identification (GA-BPNN) is established and simulated in the MATLAB environment. The main contribution of the paper is that GA-BPNN condition identification can accurately identify future driving conditions. Results show that compared with the traditional K-means clustering method and BPNN intelligent identification method, the GA-BPNN driving condition intelligent identification method can further improve the condition identification accuracy, and the driving conditions recognition accuracy reaches 93%.

Indexed By:

Our Journals

International Journal of Electronics Communication and Computer Engineering
ISSN(Online): 2249 - 071X
ISSN (Print) : 2278 – 4209
Submissions open
International Journal of Agriculture Innovations and Research
ISSN(Online) : 2319 – 1473
Submissions open
International Journal of Innovation in Science and Mathematics
ISSN : 2347 – 9051
Submissions open
International Journal of Engineering Innovations and Research
ISSN(Online) : 2277 – 5668
Submissions are open.

International Journal of Artificial Intelligence and Mechatronics
ISSN(Online) : 2320 – 5121
Submissions open
International Journal of Research in Agricultural Sciences
ISSN(Online) : 2348 – 3997
Submissions open

Submission Open

"Submissions Open For Vol. 13,Issue 4, July - Aug., 2024"

Click here to submit article.........

Latest Updates

Submissions open

Submissions open


"Vol. 13, Issue 4, July - Aug., 2024"

Published Papers

Accepted Papers are published in

1. Recently Published Issue.

"Volume 13,Issue 2, Mar. - Apr. 2024"


Dear Authors

Once author receives paper id, please always mention it in subject of your mail.

"Submissions Open"

Message for Authors