Extreme learning machine for SOC estimation of lithium-ion battery using gravitational search algorithm

M. S. Hossain Lipu, Hannan M A, Aini Hussain, Mohamad Hanif Md Saad, Afida Ayob, M. N. Uddin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper develops a state of charge (SOC) estimation model for a lithium-ion battery using an improved extreme learning machine (ELM) algorithm. ELM is suitable for SOC estimation since ELM algorithm has fast estimation speed, good generalization performance, and high accuracy. However, the performance of ELM is highly dependent on training accuracy and number of neurons in a hidden layer. Hence, gravitational search algorithm (GSA) is applied to improve the ELM computational intelligence by searching for the optimal value hidden layer neurons. The optimal ELM based GSA model does not require internal battery knowledge and mathematical model for SOC estimation. The model robustness is validated at different temperatures using different EV drive cycles. The performance of ELM-GSA model is verified with two popular neural network methods; back-propagation neural network (BPNN) and radial basis function neural network (RBFNN). The results are evaluatedusing different error rates and computation cost. The results demonstrate that the ELM-GSA model offers high accuracy and low SOC error rate than BPNN-GSA and RBFNN-GSA models. Furthermore, a detailed comparative study between the proposed model and existing SOC strategies is conducted which also demonstrates the superiority of the proposed model.

Original languageEnglish
Title of host publication2018 IEEE Industry Applications Society Annual Meeting, IAS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538645369
DOIs
Publication statusPublished - 26 Nov 2018
Externally publishedYes
Event2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 - Portland, United States
Duration: 23 Sep 201827 Sep 2018

Publication series

Name2018 IEEE Industry Applications Society Annual Meeting, IAS 2018

Conference

Conference2018 IEEE Industry Applications Society Annual Meeting, IAS 2018
CountryUnited States
CityPortland
Period23/9/1827/9/18

Fingerprint

Learning systems
Neural networks
Backpropagation
Neurons
Lithium-ion batteries
Artificial intelligence
Mathematical models
Costs

Keywords

  • A gravitational search algorithm
  • Electric vehicle
  • Extreme learning machine
  • Lithium-ion NMC battery
  • State of charge

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

Cite this

Hossain Lipu, M. S., M A, H., Hussain, A., Md Saad, M. H., Ayob, A., & Uddin, M. N. (2018). Extreme learning machine for SOC estimation of lithium-ion battery using gravitational search algorithm. In 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 [8544607] (2018 IEEE Industry Applications Society Annual Meeting, IAS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS.2018.8544607

Extreme learning machine for SOC estimation of lithium-ion battery using gravitational search algorithm. / Hossain Lipu, M. S.; M A, Hannan; Hussain, Aini; Md Saad, Mohamad Hanif; Ayob, Afida; Uddin, M. N.

2018 IEEE Industry Applications Society Annual Meeting, IAS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8544607 (2018 IEEE Industry Applications Society Annual Meeting, IAS 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hossain Lipu, MS, M A, H, Hussain, A, Md Saad, MH, Ayob, A & Uddin, MN 2018, Extreme learning machine for SOC estimation of lithium-ion battery using gravitational search algorithm. in 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018., 8544607, 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018, Portland, United States, 23/9/18. https://doi.org/10.1109/IAS.2018.8544607
Hossain Lipu MS, M A H, Hussain A, Md Saad MH, Ayob A, Uddin MN. Extreme learning machine for SOC estimation of lithium-ion battery using gravitational search algorithm. In 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8544607. (2018 IEEE Industry Applications Society Annual Meeting, IAS 2018). https://doi.org/10.1109/IAS.2018.8544607
Hossain Lipu, M. S. ; M A, Hannan ; Hussain, Aini ; Md Saad, Mohamad Hanif ; Ayob, Afida ; Uddin, M. N. / Extreme learning machine for SOC estimation of lithium-ion battery using gravitational search algorithm. 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE Industry Applications Society Annual Meeting, IAS 2018).
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