Optimal power management for hybrid electrical vehicle

164 views

Authors

  • To Xuan Dinh (Corresponding Author) Faculty of Control Engineer, Le Quy Don Technical University
  • Nguyen Ngoc Tuan Faculty of Control Engineer, Le Quy Don Technical University
  • Nguyen Ngoc Tien Faculty of Control Engineer, Le Quy Don Technical University
  • Duong Ngoc Khang Faculty of Control Engineer, Le Quy Don Technical University
  • Nguyen Duy Long Faculty of Control Engineer, Le Quy Don Technical University
  • Pham Van Phu Faculty of Technical Command and Staff, Le Quy Don Technical University

DOI:

https://doi.org/10.54939/1859-1043.j.mst.97.2024.16-24

Keywords:

Power Management; Fuel Cell; Construction Vehicle.

Abstract

This paper introduces an innovative optimal energy management strategy tailored for a hybrid electric-powered hydraulic excavator system. The aim is to bolster power performance, extend the lifespan of power sources, and optimize hydrogen usage. In this system, the fuel cell serves as the primary power source, while integrating supercapacitors and batteries offers benefits such as enhancing power performance and storing regenerative energy for future use. To efficiently distribute power among these three sources and maximize the utilization of regenerative energy, we propose an energy management strategy. This strategy combines fuzzy logic control with a rule-based algorithm. Moreover, we optimize the parameters of the fuzzy logic system using a combination of the backtracking search algorithm and sequential dynamic programming. This optimization aims to reduce hydrogen consumption and prolong the lifespan of the power sources. Simulation results demonstrate that our proposed energy management strategy significantly enhances vehicle performance, improves fuel economy of the hybrid electric-powered hydraulic excavator system, and enhances the durability and efficiency of the battery and supercapacitor systems within the fuel cell system.

References

[1]. T. Li, L. Huang, and H. Liu, “Energy management and economic analysis for a fuel cell SC excavator,” Energy, Vol. 172, pp. 840-851, (2019). DOI: https://doi.org/10.1016/j.energy.2019.02.016

[2]. B. Dandil, et. al, “Adaptive DC-Voltage control based on Type-2 neuro-fuzzy controller in a hybrid stand-alone power network with hydrogen fuel cell and battery”, International Journal of Hydrogen Energy, Vol. 75, pp. 303-313, (2024). DOI: https://doi.org/10.1016/j.ijhydene.2024.01.305

[3]. X. Huang, et al, “Predictive energy management of fuel cell SC hybrid construction equipment,” Energy, Vol. 149, pp. 718-729, (2018). DOI: https://doi.org/10.1016/j.energy.2018.02.101

[4]. T. Li, H. Liu, and D. Ding, “Prospects for purely electric construction machinery: Mechanical components, control strategies and typical machines,” Automation in Construction, Vol. 164 (2024). DOI: https://doi.org/10.1016/j.autcon.2024.105477

[5]. H. Wang, Q. Wang, and B. Hu, “A review of developments in energy storage systems for hybrid excavators,” Automation in Construction, Vol. 80, pp. 1-10, (2017). DOI: https://doi.org/10.1016/j.autcon.2017.03.010

[6]. L. Xu, J. Li, J. Hua, X. Li, and M. Ouyang, “Optimal vehicle control strategy of a fuel cell/battery hybrid city bus,” International Journal of Hydrogen Energy, Vol. 34, No. 17, pp. 7323-7333, (2009). DOI: https://doi.org/10.1016/j.ijhydene.2009.06.021

[7]. T. Azib, O. Bethoux, G. Remy, and C. Marchand, “Saturation Management of a Controlled Fuel-Cell/Ultracapacitor Hybrid Vehicle,” IEEE Transactions on Vehicular Technology, Vol. 60, No. 9, pp. 4127-4138, (2011). DOI: https://doi.org/10.1109/TVT.2011.2165092

[8]. T. X. Dinh et al, “Modeling and Energy Management Strategy in Energetic Macroscopic Representation for a Fuel Cell Hybrid Electric Vehicle,” Journal of Drive and Control, Vol. 16, No. 2, pp. 80-90, (2019).

[9]. R. Zhang and J. Tao, “GA-Based Fuzzy Energy Management System for FC/SC-Powered HEV Considering H2 Consumption and Load Variation,” IEEE Transactions on Fuzzy Systems, Vol. 26, No. 4, pp. 1833-1843, (2018). DOI: https://doi.org/10.1109/TFUZZ.2017.2779424

Downloads

Published

25-08-2024

How to Cite

To Xuan Dinh, Nguyen Ngoc Tuan, Nguyen Ngoc Tien, Duong Ngoc Khang, Nguyen Duy Long, and Pham Van Phu. “Optimal Power Management for Hybrid Electrical Vehicle”. Journal of Military Science and Technology, vol. 97, no. 97, Aug. 2024, pp. 16-24, doi:10.54939/1859-1043.j.mst.97.2024.16-24.

Issue

Section

Electronics & Automation