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Extending battery lifetime of electric-hydraulic hybrid wheel loader through system parameter optimization

Author

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  • Lin, Zichang
  • Wang, Feng
  • Zhang, Haoxiang
  • Xu, Bing

Abstract

Parallel electric hydraulic hybrid powertrain (PEHH) is a promising substitute for electric direct drive to extend battery lifetime. The convex programming (CP) based simultaneous optimization method has been adopted in electric hybrid system parameter optimization, but it is difficult to extend it for PEHH due to its non-convexity. In this paper, a combined exhaustive search – convex programming (ES-CP) system parameter optimization method is proposed to address the non-convexity of PEHH system parameter optimization problem. In this method, the PEHH system parameter optimization problem is modeled and reformulated in convex form and the convex part is decoupled from the optimization problem. The CP method is used for the convex part and the ES method is used for the remained non-convex part. The ES-CP method is applied to the PEHH powertrain to extend its battery lifetime. Optimization results show that the battery lifetime of the ES-CP optimized PEHH system is 6.8 % longer than that of the non-optimized system. The computing time of ES-CP is 97 % lower than Latin hypercube sampling and 90 % lower than genetic algorithm methods.

Suggested Citation

  • Lin, Zichang & Wang, Feng & Zhang, Haoxiang & Xu, Bing, 2024. "Extending battery lifetime of electric-hydraulic hybrid wheel loader through system parameter optimization," Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224035126
    DOI: 10.1016/j.energy.2024.133734
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