Control strategy of genetic algorithm for a hybrid electric container loader
by Jian Li; Hong Shu; Zhien Xu; Weizhou Huang
International Journal of Vehicle Performance (IJVP), Vol. 7, No. 3/4, 2021

Abstract: A genetic algorithm is applied to optimise the control parameters of a hybrid electric loader. Based on the optimal control parameters, a multidimensional response surface model for control parameters was established by a response surface method. The simulation shows that under multiple loads, battery temperatures and initial SOCs, the fuel saving of the hybrid loader is significant, the battery maintains the charge sustain or reaches within the optimal range, the battery temperature rise is kept within a reasonable range, and the battery charge and discharge rate is controlled within 1C. The fuel consumption of the hybrid electric loader is reduced by more than 20% compared with the traditional loader under the full load conditions. Compared with the original calculation model optimised by genetic algorithms and the dynamic programming, it was verified that the calculation accuracy and fuel saving significance of the response surface model for control parameters.

Online publication date: Wed, 07-Jul-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Performance (IJVP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email