Application of Collaborative Sensing Computing in Electrochemical Influence Analysis of Nickel-Rich Cathode Materials

Abstract

The electrochemical influencing components in existing nickel-rich cathode materials are relatively complex, and existing technologies cannot study the electrochemical effects in a targeted manner. Based on cooperative sensing technology, this article uses the stochastic process method to study different spatial system variables in cooperative dynamics and obtains the objective function of cooperative sensing calculation. The objective function was compared with the electrochemical composition of the corresponding nickel-rich cathode material. Therefore, the objective function in the cooperative sensing can be applied to nickel-rich cathode materials, and the final objective equation and parameter change law can be obtained. There are five influencing factors in the electrochemical analysis of nickel-rich cathode materials. Based on the differences in indicators and sample size, these five factors can be listed as the factors with the most significant impact of cyclic characteristics on indicators and sample content. The corresponding change in thermal stability index is gradually decreasing. The structural parameters of the material gradually increase, and the corresponding energy density stabilizes, while the range of variation in specific capacity is relatively large. According to the influence results of nickel-rich cathode materials in the cooperative sensing calculation theory, different change trends under five factors can be seen, indicating that the complexity between electrochemical effects and chemical composition is relatively obvious, with the smallest change in specific capacity. This shows that collaborative sensing technology can more accurately capture the synergy between different factors, thus providing more accurate electrochemical performance evaluation. This accuracy may be due to the fact that cooperative sensing technology can simultaneously consider multiple factors and reveal the complex relationship between them. The dominant feature of energy density is obvious, the cyclic feature has connected wave characteristics, the thermal stability has local maximum values, and the linear feature of material structure is obvious.

Cite this article as: W. Zhang and C. Lei, "Application of collaborative sensing computing in electrochemical influence analysis of nickel-rich cathode materials," Electrica, 2026, 26, 0199, doi: 10.5152/electrica.2026.25199.