T/BICA 059-2026 Abolished Group standards

T/BICA 059-2026 The technical requirements for an online hybrid battery health diagnosis and lifespan prediction system based on machine learning

Publish Date: 2026-01-05 Implement Date: 2026-01-05 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/BICA 059-2026

Standard Type: Group standards

Standard Status: Abolished

is_force_gb: no

CCS Name: Other specialized equipment

ICS Name: The comprehensive overview of batteries and storage batteries

Publish Date: 2026-01-05

Implement Date: 2026-01-05

Scope

This document specifies the system architecture, data collection and processing, machine learning models, diagnostic and prediction functions, system performance requirements, and safety and reliability of the hybrid battery online health diagnosis and life prediction system based on machine learning (hereinafter referred to as the "system"). This document is applicable to the design, development, testing, and application of the hybrid battery online health diagnosis and life prediction system based on machine learning. This document specifies the system architecture, data collection and processing, machine learning models, diagnostic and prediction functions, system performance requirements, and safety and reliability of the hybrid battery online health diagnosis and life prediction system based on machine learning (hereinafter referred to as the "system"). This document is applicable to the design, development, testing, and application of the hybrid battery online health diagnosis and life prediction system based on machine learning.

Development Information

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