A Wireless Power Transfer System for Mining Locomotives Based on the Stochastic Collocation Method
This study focuses on optimizing a wireless charging system for mining electric locomotives in explosive environments, utilizing the Stochastic Collocation Method (SCM) to enhance safety and efficiency. By employing inductive and magnetic resonance coupling, the system achieves a transfer efficiency exceeding 90% across distances ranging from 50 to 200 mm. SCM effectively addresses the complexities of variable underground conditions, thereby minimizing design uncertainties and enhancing system reliability. This methodology incorporates polynomial chaos expansions to model uncertainties and optimize parameters, achieving up to a 50% reduction in simulation time while maintaining accuracy. Experimental validations corroborate the simulation results, confirming strong compliance with explosion safety standards and demonstrating high system efficiency. The findings underscore significant advancements in operational safety and energy management, establishing a scalable model for deploying advanced wireless charging technologies in hazardous industrial settings.
Authors
- Han Zeng (ORCID: https://orcid.org/0000-0002-5992-8730)
- Yanjin Zhu
Institutions
- East China Jiaotong University (CN)
- CRRC (China) (CN)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1109/sgee64306.2024.10865956
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00