Abstract：
With the rapid advancement of electric vehicles (EVs), the burgeoning increase in used power batteries necessitates the development of efficient battery recycling e-platforms. A key challenge in this field is the mismatch between supply and demand. In response, a dynamic optimization model is proposed to capture the non-equalizing supply-demand relationship and its linkage over continuous periods to enable dynamic simulations and predictions of transaction volume changes. Meanwhile, pricing and commission-setting strategies are optimized based on the objectives of maximizing social welfare and platform revenue. The result shows that due to the lower recycling volumes that result, increasing the recycling price usually increases platform revenues, exacerbates environmental costs, and leads to lower social welfare. Moreover, platform revenues are more sensitive to commission rates than social welfare, which is more vulnerable to recycling prices. Furthermore, prioritizing social welfare leads to a higher recycling volume compared to prioritizing revenue, but it also creates an imbalance between supply and demand, destabilizing the recycling market. With the dynamic pricing and commission strategies, this study enriches the literature in the third-party recycling mode for power batteries, offering a novel perspective that is more aligned with real-world operational conditions. Our findings help platforms clarify the impact of pricing and commission decisions on platform revenue and social welfare and thereby provide support for their decision optimization.
摘要：
随着电动汽车(EV)的快速发展，废旧动力电池的迅速增长需要开发高效的电池回收电子平台。这一领域的一个关键挑战是供需之间的不匹配。作为回应,提出了一个动态优化模型，以捕获非均衡的供需关系及其在连续时期内的联系，以实现对交易量变化的动态模拟和预测。同时,定价和佣金设定策略基于最大化社会福利和平台收入的目标进行优化。结果表明，由于回收量较低，提高回收价格通常会增加平台收入，加剧了环境成本，导致社会福利降低。此外，平台收入对佣金率比社会福利更敏感，更容易受到回收价格的影响。此外，与优先考虑收入相比，优先考虑社会福利会导致更高的回收量，但这也造成了供需之间的不平衡，破坏回收市场的稳定。通过动态定价和佣金策略，本研究丰富了动力电池第三方回收模式的文献,提供了一个更符合现实操作条件的新颖视角。我们的发现有助于平台澄清定价和佣金决策对平台收入和社会福利的影响，从而为其决策优化提供支持。
