Zili Wang

TL;DR: A one-dimensional convolution neural network (1D CNN)-based method that takes random segments of charging curves as inputs to perform capacity estimation for lithium-ion batteries is presented and it is proved that the proposed method is feasible to provide accurate estimations on capacity degradation for both kinds of batteries.

TL;DR: The reliability of battery packs of different redundant cell numbers and configurations does not monotonically increase with the number of redundant cells for the thermal disequilibrium effects, and the reliability of a 6 × 5 parallel-series configuration is the optimal system structure.

TL;DR: A modified restoration strategy based on reinforcement learning, namely, the wolf pack algorithm (WPA), is proposed under the multi-agent framework and communication architecture to optimize the reliability of a system in the restoration process, considering load balancing as a constraint.

TL;DR: An enhanced active disturbance rejection control method for the attitude deformation system of a self-developed mobile robot in conjunction with evolutionary game theory-based pigeon-inspired optimization (EGPIO).

TL;DR: This survey reveals some common properties of smart grid restoration and identifies the research gaps in modeling frameworks, reconfiguration technologies, and optimization approaches to facilitate the researchers in the advancement of effective and intelligent restoration of smart grids.