Presentations · 2026

Physical/AI models for battery temperature and health estimation

智能芯脏,AI守护:深蓝汽车电池全生命周期管理的智能化BMS关键技术

Overview

Deepal describes neural residual correction of a physical battery-thermal model and charge-curve-based SOH prediction. Data collection/cleaning, embedded deployment and temperature-sensor-failure substitution are presented as application cases; performance claims are the presenter’s reports.

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