Research on Control Technology of Bidirectional Charging Pile Based on Diversified Vehicle-Network Interaction
The research of bidirectional charging pile control technology based on diversified vehicle-network interaction aims at improving the charging efficiency of electric vehicle (EV) and strengthening the stability and regulation ability of power grid. This study focuses on the working principle and control technology of bidirectional charging pile (BCP). Through in-depth analysis of the application potential of BCP in diversified vehicle-network interaction, it discusses its role in improving energy utilization efficiency, optimizing power grid operation and promoting efficient and stable interaction between EV and power grid. In this study, an intelligent control algorithm based on fuzzy logic is designed, which can intelligently select the most suitable charging mode (including fast charging, standard charging, slow charging and V2G discharging mode) according to the battery capacity of EV, charging time set by users and the load of power grid, and dynamically adjust the output power of charging piles to meet the charging demand of EV as much as possible without exceeding the load limit of power grid. The experimental results show that the BCP control strategy designed in this study has good performance under various grid loads and EV battery state. The system can intelligently select the charging mode to meet the charging needs of different users and the running state of the power grid; Dynamically adjust the charging power, reduce the power grid load and realize stable charging; At the same time, it has the function of energy feedback and can provide support for the power grid during peak hours. The research results provide a useful reference for promoting the further development of BCP control technology.
Authors
- Peilu Chen
- Jinxi Dong
- Ling Long (ORCID: https://orcid.org/0000-0001-9265-5714)
- Xiaoming Lin (ORCID: https://orcid.org/0000-0002-0119-0956)
- Haiyang Ding (ORCID: https://orcid.org/0000-0003-4446-5216)
- Jianzhong Qin
Institutions
- Guangxi Hydraulic Power Machinery Research Institute (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/iaecst64597.2024.11118068
- Primary Topic
- Electric and Hybrid Vehicle Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00