Author

Hao-Tian Shi

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Open access Oct 2026

Lightweight State of Charge Estimation Model Based on Multi-Timescale Feature Enhancement for Lithium-ion Batteries

Accurate state of charge estimation for lithium-ion batteries is severely challenged by multi-timescale coupling and wide temperature fluctuations. To resolve these issues, this paper introduces a feature-enhanced echo state network optimized via an improved sparrow search algorithm. A physics-inspired dual-reservoir...

Jia-Jun Zhang, Yuan-Ru Zou, Hao-Tian Shi · Journal of the Electrochemic... · 0 citations

Sep 2026

A Novel Adaptive Particle Filtering–Gated Recurrent Unit Correction Framework for Multi-State Cooperative Estimation of Lithium-Ion Batteries

The accuracy of state-of-charge (SOC), state-of-energy (SOE), and state-of-health (SOH) estimations directly affects the system’s ability to sense the battery's state. Therefore, this paper proposes a multi-state co-estimation method that integrates adaptive particle filtering with gated recurrent unit (GRU) error co...

Chao Wang, Shun-Li Wang, Lei Chen et al. · Journal of the Electrochemic... · 0 citations

Open access Aug 2026

A Multi-Scale Hybrid Neural Network with Attention and Intelligent Optimization for High-Precision State of Charge Estimation of Lithium-Ion Batteries

A hybrid neural network optimized by an improved sparrow search algorithm for SOC estimation, combining temporal convolutional networks for local feature extraction and bidirectional long short‑term memory networks for long‑term dependency capture, promising wide battery management system applications.

Li-Ping Kuang, Lei Chen, Cao Wen et al. · Journal of the Electrochemic... · 0 citations