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首页> 外文期刊>Discrete dynamics in nature and society >Data-Driven Recovery Potential Analysis and Modeling for Batteries Recovery Operations in Electric Bicycle Industry
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Data-Driven Recovery Potential Analysis and Modeling for Batteries Recovery Operations in Electric Bicycle Industry

机译:电动自行车行业电池恢复操作的数据驱动恢复潜在分析和建模

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To help the governmentmanage waste lead-acid batteries in amore targeted and sustainable way, accurately forecasting the number of waste lead-acid batteries and analyzing their recovery potential play a key role. In China, electric bicycles are one of the most common means of transportation. As of the end of 2017, the social holding quantity of electric bicycles in China was over 250 million and that of electric tricycles was over 50million.The quantity is equal to the total number of electric bicyclesmanufactured between 2011 and 2017. Currently, 90% of electric bicycles adopt lead-acid batteries as their power batteries. However, there are a few studies on the lead-acid batteries used in electric bicycles as power batteries. In this paper, we have selected lead-acid batteries used in electric bicycles as the subject of research as such kind of batteries enjoys the widest user base, the most single-battery consumption volume, and the strongest mobility. Based on the output and sales of electric bicycles, we have obtained the quantity of power lead-acid batteries. We have then estimated the annual waste quantity of lead-acid batteries used in electric bicycles in 2000-2022 using the “market supply Amodel” and the “StanfordModel”, respectively, and based on the proportion of rawmaterials contained in lead-acid batteries and the proportion between reclaimed and discarded lead-acid batteries, we have estimated the recovery potential of discarded lead-acid batteries in 2000-2022.We estimate that the lead-acid batteries used in electric bicycles only have great recovery potential and there are abundant potential resources for recovery.The research data and results can help decision-makers make more effective and more accurate management measures and policies.
机译:为了帮助政府浪费含有可持续和可持续方式的铅酸电池,准确地预测废铅酸电池的数量并分析其恢复潜力起到关键作用。在中国,电动自行车是最常见的交通工具之一。截至2017年底,中国电动自行车的社会控股数量超过2.5亿,电动三轮车超过5000万。该数量等于2011年和2017年的电动自行车管理总数。目前,90%电动自行车采用铅酸电池作为其动力电池。然而,在电动电池中使用的电动自行车中使用的铅酸电池存在一些研究。在本文中,我们选择了电动自行车中使用的铅酸电池作为研究的主题,因为这种电池享有最广泛的用户群,最单电池消耗量和最强的移动性。基于电动自行车的输出和销售,我们获得了电力铅酸电池的数量。然后,我们估计了2000 - 20122年电动自行车中使用的铅酸电池的年度废酸电池,分别使用“市场供应Amodel”和“Stanfordmodel”,并基于铅酸电池中含有的原料的比例回收和废弃的铅酸电池之间的比例估计了2000 - 202222222的丢弃铅酸蓄电池的恢复潜力。我们估计电动自行车中使用的铅酸电池仅具有很大的恢复潜力,并且存在丰富的潜力恢复资源。研究数据和结果可以帮助决策者做出更有效和更准确的管理措施和政策。

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