退役动力电池政策智能模拟方法研究

闫湖; 黄碧斌; 李琼慧; 胡静; 冯凯辉

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

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太阳能学报 ›› 2022, Vol. 43 ›› Issue (4) : 30-35. DOI: 10.19912/j.0254-0096.tynxb.2022-0209

电化学储能安全性与退役动力电池梯次利用关键技术专题

退役动力电池政策智能模拟方法研究

闫湖, 黄碧斌, 李琼慧, 胡静, 冯凯辉

作者信息 +

RESEARCH ON INTELLIGENT PRE-EVALUATION OF RETIREMENT POWER BATTERY POLICY

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

Author information +

文章历史 +

摘要

推进退役动力电池梯次利用是建立绿色低碳循环经济体系的重要抓手,该文围绕退役动力电池政策事前模拟评估开展研究,提出一种退役动力电池利用政策的知识化表达方法,构建基于模糊神经网络的退役动力电池政策智能模拟模型,实现了计算机对政策知识的自动识别和政策制定者决策行为的智能模拟,为退役动力电池政策优选提供了一种新思路。

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.

导出引用

闫湖, 黄碧斌, 李琼慧, 胡静, 冯凯辉. 退役动力电池政策智能模拟方法研究[J]. 太阳能学报. 2022, 43(4): 30-35 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0209

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

中图分类号： TK513.5

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