To address the challenges found in the use of lithium-ion batteries at both high and low temperatures, and in response to the demand for wide-temperature range lithium-ion batteries in certain applications, a ternary lithium-ion battery was developed. The research was carried out through the modification of graphite anodes and electrolytes to break through the performance barriers of lithium-ion batteries under wide temperature range conditions. In this study, using 200 Wh kg ⁻¹ ternary lithium-ion cells and 3S6P modules as prototypes, we modified graphite anodes and electrolytes to enhance performance. Innovations include graphite anode coating and high-conductivity electrolytes. Rate, cycle, vibration, and thermal shock tests were conducted. Results show that at 25 °C and 20 C, the single cell retains 95.24% of its discharge capacity. The module exhibits strong wide-temperature-range performance: at −5 °C and 0.2 C, discharge capacity retention is 84.8%, and at 55 °C and 1 C, it reaches 99.4%. These batteries have been verified in high/low-temperature and vibration environments, achieving leading performance.

In this paper, we explore the spiking encoding methodology within spiking neural networks for affective state recognition, deriving inspiration from the principles of quantum entanglement. A pioneering encoding strategy is proposed based on the strategic utilization of the quantum mechanical phenomenon of entanglement. By integrating quantum mechanisms into the spike-encoding pipeline, we aim to match the accuracy of existing encoders on emotion-classification tasks while retaining the inherently low-power advantage of spiking neural networks. Notably, leveraging the superposition of quantum bits and their potential quantum entanglement of adjacent values in feature space during encoding calculations, this quantum-inspired encoding paradigm holds substantial promise for augmenting information processing capabilities in brain-like neural networks. Through quantum observation, we derive spike trains characterized by quantum states, thereby establishing a foundation for experimental validation and subsequent investigative pursuits. We conducted experiments on emotion recognition and validated the effectiveness of our method.