Research Progress and Future Directions of Single Current Sensor Control Strategies for Interleaved Parallel DC-DC Converters

Hao Huang

doi:10.47297/taposatWSP2633-456910.20260702

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Research Progress and Future Directions of Single Current Sensor Control Strategies for Interleaved Parallel DC-DC Converters

Volume 7, Issue 2

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Research Progress and Future Directions of Single Current Sensor Control Strategies for Interleaved Parallel DC-DC Converters
Research Progress and Future Directions of Single Current Sensor Control Strategies for Interleaved Parallel DC-DC Converters
Artificial Intelligence and Electrical Engineering, Guangzhou College of Applied Science and Technology, Zhaoqing, Guangdong, 526072, China
Vol. 7, Issue 2, Pages: 52-56(2026)
Published：28 February 2026
DOI：10.47297/taposatWSP2633-456910.20260702
Accepted：

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Hao Huang.Research Progress and Future Directions of Single Current Sensor Control Strategies for Interleaved Parallel DC-DC Converters[J].Theory and Practice of Science and Technology,2026,07(02):52-56.
DOI：

Hao Huang.Research Progress and Future Directions of Single Current Sensor Control Strategies for Interleaved Parallel DC-DC Converters[J].Theory and Practice of Science and Technology,2026,07(02):52-56. DOI： 10.47297/taposatWSP2633-456910.20260702.

摘要

Abstract

This paper reviews the research progress and future directions of single current sensor control strategies in interleaved parallel DC-DC converters. Traditional multi-current sensor approaches suffer from cost and reliability issues

whereas single-current sensor strategies maintain system performance while reducing sensor count through advanced methods like model predictive control (MPC) and sliding mode control (SMC). The paper analyzes the optimized design of this strategy in Buck/Boost topologies

exploring its advantages in dynamic response and robustness

as well as challenges such as accuracy and noise suppression. Research indicates that hybrid architectures---such as integrating MPC with SMC---and incorporating artificial intelligence significantly enhance system performance. Future research directions include deep integration of AI and digital twin technologies

refinement of multi-objective optimization frameworks

and development of novel semiconductor devices to advance power electronics toward higher power density and intelligence.

关键词

Keywords

references

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