Advancements in Power Electronics and Battery Management

The field of power electronics and battery management is rapidly evolving, with a focus on developing innovative solutions to improve efficiency, reliability, and safety. Recent research has explored the use of adaptive voltage asymmetry in modular pulse synthesizers, flexible pretraining frameworks for multitask battery management, and digital twin frameworks for intelligent battery management. These advancements have the potential to significantly impact various applications, including medical power electronics, electric vehicles, and renewable energy systems. Notable papers in this area include: High-Power Wide-Bandwidth High-Quality Modular Pulse Synthesizer with Adaptive Voltage Asymmetry, which achieves high-resolution pulse shaping with fewer modules. Multitask Battery Management with Flexible Pretraining, which learns unified battery representations from heterogeneous data and can be adopted by different tasks with minimal data and engineering efforts.

Sources

High-Power Wide-Bandwidth High-Quality Modular Pulse Synthesizer with Adaptive Voltage Asymmetry in Medical Power Electronics

Multitask Battery Management with Flexible Pretraining

Design of an Efficient Three-Level Buck-Boost Converter in PSIM

Towards Intelligent Battery Management via A Five-Tier Digital Twin Framework

AI Safety Assurance in Electric Vehicles: A Case Study on AI-Driven SOC Estimation

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification

DNN-based Digital Twin Framework of a DC-DC Buck Converter using Spider Monkey Optimization Algorithm

First-Principle Modeling Framework of Boost Converter Dynamics for Precise Energy Conversions in Space

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