Study on Intelligent Maintenance System in EV Power System
This paper is based on AI, Big Data, Cloud Computation, Digital Twins and Edge computation technology, around the requirements of high safety, high reliability, high efficiency and low power cost, designed the intelligent O&M dual platform architecture, and developed a series of data and service products, and developed the intelligent maintenance application system of the power swapping station including rule model development system, diagnosis and alarming system, equipment health management system, servo driving equipment alarming and diagnosis system, coolant over-limit prediction system, etc. These intelligent O&M products enable the O&M team to realize the real time monitoring, early alarming, diagnostic and health management, which has effectively improved the availability and the first-time through rate of service, reduced the MTTR, and laid a foundation for the automatic operation and unattended service of the power swapping station.
Authors
- Dongming Huang (ORCID: https://orcid.org/0000-0002-9284-3448)
- Dai Wanchen
- Hongyun Chen (ORCID: https://orcid.org/0000-0001-8044-7256)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1109/phm-beijing63284.2024.10874741
- Primary Topic
- Advanced Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00