RESEARCH ON INTELLIGENT PRE-EVALUATION OF RETIREMENT POWER BATTERY POLICY

Hu Yan; Huang Bibin; Li Qionghui; Hu Jing; Feng Kaihui

doi:10.19912/j.0254-0096.tynxb.2022-0209

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (4) : 30-35. DOI: 10.19912/j.0254-0096.tynxb.2022-0209

Topics on Key Technologies for Safety of Electrochemical Energy Storage Systems and Echelon Utilization of Decommissioned Power Batteries

RESEARCH ON INTELLIGENT PRE-EVALUATION OF RETIREMENT POWER BATTERY POLICY

Hu Yan, Huang Bibin, Li Qionghui, Hu Jing, Feng Kaihui

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Abstract

Promoting cascade utilization level of retired power batteries is an important step for building the green and low-carbon circular economy. Focusing on the pre-evaluation of the retired power battery policy, this paper proposes a knowledge-based expression method for the retired power battery policy, and builds an intelligent pre-evaluation model based on fuzzy neural network for retired power battery policy, realized the automatic identification of the policy knowledge by the computer and the intelligent simulation of the decision-making behavior of policy makers, which provides a new idea for the optimization of the retired power battery policy.

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power battery storage / cascade utilization / artificial intelligence / fuzzy neural network / fuzzy language

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Hu Yan, Huang Bibin, Li Qionghui, Hu Jing, Feng Kaihui. RESEARCH ON INTELLIGENT PRE-EVALUATION OF RETIREMENT POWER BATTERY POLICY[J]. Acta Energiae Solaris Sinica. 2022, 43(4): 30-35 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0209

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