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Neuromorphic Battery Management System for eVTOL Aircraft Developed

By PulseAugur Editorial · [1 sources] ·

Researchers have developed nBMS, a neuromorphic battery management system designed for eVTOL aircraft. This system utilizes a spiking state-of-charge core with a low-power, event-driven design, achieving an RMSE of 2.45% compared to a tuned LSTM baseline. The nBMS architecture is implemented on an Artix-7 FPGA, demonstrating efficient energy consumption with 1.30 μJ per inference. AI

IMPACT This research could lead to more efficient and specialized AI hardware for critical applications like eVTOL aircraft.

RANK_REASON The cluster contains an academic paper detailing a novel system architecture and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.NE (Neural & Evolutionary) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Neuromorphic Battery Management System for eVTOL Aircraft Developed

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The cluster contains an academic paper detailing a novel system architecture and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · İsmail Can Dikmen ·

    nBMS, a Neuromorphic Battery Management System with a Silicon-Validated Spiking State-of-Charge Core for eVTOL Aircraft

    State-of-charge (SoC) estimation for electric vertical take-off and landing (eVTOL) aircraft must run on the vehicle under hard energy and certification budgets, on a duty cycle unlike anything in the automotive literature. In this study an event-driven spiking network, the state…

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