2020 2nd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) 2020
DOI: 10.1109/ieses45645.2020.9210671
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FPGA Accelerator for Battery Management Systems in Safety-Critical Applications

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Cited by 7 publications
(3 citation statements)
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“…They function as hardware emulators capable of replicating specific hardware, making them ideal for running Hardware-in-the-Loop simulations of BMS devices [219,220]. Additionally, they have been proposed as accelerators for faster SoC, SoH, and SOA calculations, and as adaptable BMS design solutions [221][222][223].…”
Section: Promising Technologies and Researchmentioning
confidence: 99%
“…They function as hardware emulators capable of replicating specific hardware, making them ideal for running Hardware-in-the-Loop simulations of BMS devices [219,220]. Additionally, they have been proposed as accelerators for faster SoC, SoH, and SOA calculations, and as adaptable BMS design solutions [221][222][223].…”
Section: Promising Technologies and Researchmentioning
confidence: 99%
“…The chosen architecture typically depends on the number of cells that compose the battery pack but also on the features required by the application such as flexibility, complexity, and computational power. The main control unit of a BMS is usually based on a microcontroller or a Field Programmable Gate Array (FPGA) if it requires low or high computation power and robustness, respectively [5]. The most used BMS architectures can be summarized in the three main topologies shown in Figure 1.…”
Section: Introductionmentioning
confidence: 99%
“…Accurate state-of-charge (SOC) estimation is a crucial function of BMSs, as it provides information on the amount of energy remaining in the battery and enables optimal battery usage [10]. Moreover, reliable SOC estimation is necessary to prevent battery overcharging and undercharging, which can significantly reduce battery life and safety [11]. In order to accurately estimate the SOC, the estimation algorithm has to meet the following requirements: high precision to ensure coherent energy management, robustness against some inaccuracies due to the use of low-end sensors in BMS, robustness against the misestimation of the batteries' parameters which highly depend on both temperature and battery degradation and low computational power requirements that allow the use of microcontrollers in the estimation.…”
Section: Introductionmentioning
confidence: 99%