6-GFMJ-15 12V 15Ah GFMJ Gel VRLA Battery

6-GFMJ-15 12V 15Ah GFMJ Gel VRLA Battery with dimensions 151 × 98 × 94 mm, total height 100 mm, weight 3.90 kg and terminal F2.

Uila12V
Hiki15Ah
Nā ana151 × 98 × 94 mm
Weight3.90 kg
CHISEN 6-GFMJ-15 12V 15Ah GFMJ Gel VRLA Battery product image
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ʻAʻolei kumukūʻai & pepa ʻikepili

Leka uila: sales@chisen.cn

Leka uila ʻē aʻe: chisenbattery@gmail.com

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Technical Specification

Product Data

Kumu hoʻohālike6-GFMJ-15
SeriesGFMJ Gel VRLA Battery
TechnologyGel VRLA deep cycle battery
Rated Uila12V
Hiki15Ah
Nā ana151 × 98 × 94 mm
Total Height100 mm
Weight3.90 kg
TerminalF2
Recommended ʻAʻoleiGel deep-cycle energy storage and renewable power applications
Float Charge Uila2.25V/cell @25°C
Cycle Use Charge Uila2.35–2.40V/cell @25°C
Max Charging Current0.25C10A reference
Main UseLā/wind storage, cyclic backup, telecom and industrial energy storage
ʻAʻolei Positioning

Gel deep-cycle energy storage and renewable power applications

  • OEM / ODM support available.
  • Batch export supply for distributors and project buyers.
  • Kumu hoʻohālike, voltage, capacity, dimensions and terminal data support fast selection.
  • Confirm final datasheet before mass order or system design.
Product Advantages

Why Choose This Battery

Gel deep cycle designDesigned for frequent cyclic charge and discharge applications.
Renewable energy storageSuitable for solar, wind, CATV and off-grid storage systems.
Nano gel electrolyteGel electrolyte helps reduce acid stratification and supports low-current recharge.
Pepa ʻikepili-rich pagesPages include charging guidance, discharge reference and procurement notes.
Product Images

6-GFMJ-15 12V 15Ah GFMJ Gel VRLA Battery Gallery

Multiple product views are shown when exact model images are available in the CHISEN local asset library.

V26 Engineering Intelligence

GFMJ Gel VRLA Engineering Data

6-GFMJ-15 12V 15Ah GFMJ Gel VRLA Battery is structured as an engineering-grade product page for international B2B buyers, combining technical specifications, application logic, performance curves, FAQ and datasheet access.

Engineering Positioning

6-GFMJ-15 belongs to the CHISEN Gel VRLA industrial standby battery platform. This page is designed for selection, comparison and inquiry by distributors, OEM buyers, system integrators and project engineers.

TechnologyGel VRLA
ʻAʻoleiUPS / telecom
Float ServiceʻOihana standby
Cycle AbilityImproved deep-cycle behavior
MaintenanceSealed design
OEM SupportProject supply

Nā noi i ʻōlelo ʻia

ʻAʻolei mapping helps buyers select the correct battery platform by industry and working condition rather than by model number only.

Telecom powerUPS backupLā backupControl systemsData room backupHigh-temperature standby

Engineering Performance Curves

The following curve area standardizes how charging, discharging and storage behavior are explained across CHISEN product pages. Final curve values should be confirmed by the model-specific datasheet when available.

Charging Characteristics

Shows typical charging voltage, charging current and capacity recovery behavior.

Discharge Characteristics

Helps engineers estimate voltage behavior under different discharge rates.

Self-discharge / Temperature

Supports storage planning and high-temperature market evaluation.

Engineering FAQ

GFM or GFMJ: which is better?

GFM is AGM VRLA; GFMJ is gel VRLA. GFMJ is often preferred where deeper cycling or higher temperature tolerance is required.

Can GFMJ be used for telecom backup?

ʻAe. GFMJ gel VRLA batteries are suitable for telecom backup and industrial standby systems.

Does GFMJ need maintenance?

It is a sealed VRLA battery and normally requires no water maintenance.

ʻOihana Trust & OEM Support

  • OEM / ODM branding, label, carton and export packing support.
  • Kumu hoʻohālike-based inquiry handling for distributors and project buyers.
  • Suitable for multi-language product pages with one shared global asset library.
  • Structured content supports SEO, GEO, AEO and AI citation systems.
OEMLabel & packaging
B2BBulk supply
ExportGlobal markets
AI-readyStructured data
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