The development of a battery management system (BMS) necessitates the collaboration of multiple engineering disciplines to create a customized solution. To optimize power and energy density at the pack level, the BMS must be seamlessly integrated, occupying minimal space in the overall assembly. This becomes particularly crucial for light electric vehicles (EVs) with limited space compared to passenger cars. Electronic hardware design is influenced by mechanical assembly, requiring careful component and sensor selection for optimal firmware performance. However, the literature often introduces algorithm solutions without proper validation on embedded processors, compromising accuracy for real applications. While selecting a lower-cost microcontroller may reduce retail expenses, it can impact firmware performance. This article explores the key aspects of BMS design and validation, emphasizing that comprehensive system awareness is essential for certain design decisions. It underscores the significance of validating algorithms for the battery state, crucial for effective lithium-ion battery (LiB) utilization, cautioning against compromising these algorithms for cost reduction. It includes a validation cycle case study to highlight the benefits of early validation in the process.

中文翻译：

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轻型电动汽车面向硬件的设计方法：车载充电状态估计


电池管理系统 (BMS) 的开发需要多个工程学科的协作来创建定制解决方案。为了优化电池组级别的功率和能量密度，BMS 必须无缝集成，在整个组件中占用最小的空间。与乘用车相比，这对于空间有限的轻型电动汽车 (EV) 来说尤为重要。电子硬件设计受机械装配的影响，需要仔细选择组件和传感器以获得最佳固件性能。然而，文献中经常介绍的算法解决方案没有在嵌入式处理器上进行适当的验证，从而损害了实际应用的准确性。虽然选择成本较低的微控制器可能会降低零售费用，但它会影响固件性能。本文探讨了 BMS 设计和验证的关键方面，强调全面的系统意识对于某些设计决策至关重要。它强调了验证电池状态算法的重要性，这对于锂离子电池 (LiB) 的有效利用至关重要，并警告不要为了降低成本而牺牲这些算法。它包括一个验证周期案例研究，以强调过程中早期验证的好处。