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Armoured Vehicles Nigam Limited AI-Assisted Battery Health Monitoring System for Lead Acid Batteries Tiruvallur Tamil Nadu 2025 Tender

Bid Publish Date

27-Dec-2025, 1:54 pm

Bid End Date

02-Feb-2026, 3:00 pm

EMD

₹58,384

Latest Corrigendum Available

Progress

Issue27-Dec-2025, 1:54 pm
Corrigendum20-Jan-2026
AwardPending
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Quantity

3

Bid Type

Two Packet Bid

Categories 7

Tender Overview

Armoured Vehicles Nigam Limited (AVNL), under the Department of Defence Production, invites bids for an AI-Assisted Battery Health Monitoring System for Lead Acid Batteries. The procurement is located in Tiruvallur, Tamil Nadu (600019). The project scope centers on a microprocessor-controlled battery monitoring solution with AI capabilities to assess health, charge/discharge cycles, and state of health for lead-acid packs. The offer must address vendor registration via vendor code creation and support payment through defined RTGS/Internet banking mechanisms. Bid security options include traditional PBG or Fixed Deposit Receipt (FDR). Minimum experience requirement of 7 years in designing/manufacturing similar systems is specified to ensure technical capability. Estimated value is not disclosed, but EMD is ₹58,384. This tender emphasizes high-reliability, embedded monitoring, and robust data analytics for critical defence-related lead-acid battery health management.

Key differentiators include the ability to accept online EMD payments, recognition of FDR as security, and a hard delivery timeline post-award (documented in the ATC). The procurement context suggests a focus on AV/NAV-grade battery health solutions with AI-driven diagnostics, targeting government defence production standards.

Technical Specifications & Requirements

  • Product Category: AI-assisted Battery Health Monitoring System for Lead Acid Batteries
  • Experience: Minimum 7 years in designing/manufacturing battery monitoring or embedded AI systems
  • System features: Microprocessor-controlled monitoring, AI-based diagnostics, health/state-of-charge estimation for lead-acid packs
  • Security & payments: EMD options: Online RTGS/Internet banking; EMD amount ₹58,384; PBG or FDR permitted; FDR to be pledged in AVNL unit ( HVF AVADI )
  • Documentation: PAN, GSTIN, Cancelled cheque, EFT mandate certified by bank; bid number and entity name in transfers
  • Delivery/installation: Not specified in BOQ; emphasize timely delivery post-award per ATC
  • Compliance: No explicit standards listed; bidders should align with AVNL/GeM terms and defence procurement norms
  • Notes: No BOQ items available; focus on capability, integration, and AI monitoring capabilities

Terms, Conditions & Eligibility

  • EMD/Payment: ₹58,384 EMD; online RTGS/IMB payments to AVNL HVF AVADI account; include transaction proof
  • Security: Performance Security via PBG or FDR; if FDR used, must be in AVNL name with withdrawal conditions
  • Documentation: Provide PAN card, GSTIN, cancelled cheque, EFT mandate, scanned copies of online transfer proof
  • Experience: Minimum 7 years in designing/manufacturing similar Battery Monitoring Systems
  • Delivery terms: Delivery/installation timelines not specified; bidders should expect alignment with ATC terms
  • Vendor code: Submission for Vendor Code Creation required; ensure correct organization details
  • OEM/authorization: Not explicitly stated; ensure capability to supply AI-based monitoring for lead-acid batteries
  • Warranty/Support: Not specified; bidders should propose standard after-sales support terms

Key Specifications

  • AI-Assisted Battery Health Monitoring System for Lead Acid Batteries

  • Minimum 7 years design/manufacture experience in similar systems

  • EMD ₹58,384; online RTGS/IMB payment to AVNL HVF AVADI

  • FDR allowed as Security; FDR in AVNL name; delivery within contract terms

  • PAN, GSTIN, cancelled cheque, EFT mandate required

  • No BOQ items available; emphasis on capabilities, AI features, embedded monitoring

Terms & Conditions

  • EMD of ₹58,384; online payment options and proof required

  • FDR accepted as security with AVNL name; delivery terms per ATC

  • Minimum 7 years’ experience in similar battery monitoring systems

Important Clauses

Payment Terms

EMD ₹58,384 via RTGS/online; payment terms aligned to GeM/AVNL guidelines; provide transfer proof

Delivery Schedule

Delivery timelines to be clarified in ATC; bidders to align with award terms and AVNL procurement norms

Penalties/Liquidated Damages

Penalties and LDs to be defined in award terms; refer to GeM GTC and AVNL ATC for specifics

Bidder Eligibility

  • Minimum 7 years of experience in designing/manufacturing battery monitoring or AI-based embedded systems

  • Proven capability in lead-acid battery health monitoring or similar energy-storage monitoring

  • Compliance with PAN, GSTIN, and bank EFT mandate; online EMD payment possible

Documents 9

GeM-Bidding-8766797.pdf

Main Document

Other Documents

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Buyer uploaded ATC document

ATC

GEM General Terms and Conditions Document

GEM_GENERAL_TERMS_AND_CONDITIONS

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Required Documents

1

PAN card

2

GSTIN certificate

3

Cancelled cheque

4

EFT Mandate certified by bank

5

RTGS/Internet banking transfer proof (EMD submission)

6

FDR (if used as security) with endorsement in AVNL name

7

PBG (performance bank guarantee) if not using FDR

8

Vendor Code Creation documents

9

Any technical compliance certificates (if applicable)

Corrigendum Updates

2 Updates
#1

Update

20-Jan-2026

Extended Deadline

02-Feb-2026, 3:00 pm

Opening Date

02-Feb-2026, 3:30 pm

#2

Update

12-Jan-2026

Frequently Asked Questions

Key insights about TAMIL NADU tender market

How to bid for AVNL AI battery monitoring tender in Tamil Nadu 2025

Bidders must meet eligibility of 7+ years in similar systems, submit PAN, GSTIN, cancelled cheque, and EFT mandate; pay EMD ₹58,384 via RTGS/online and upload proof. Ensure AVNL vendor code creation and provide FDR/PBG security as per ATC. Follow AVNL GeM guidelines for submission.

What documents are required for AVNL battery health tender submission in Tiruvallur

Required documents include PAN card, GSTIN, cancelled cheque, EFT mandate certified by bank, proof of online EMD transfer, vendor code creation documents, and any technical compliance certificates. If using FDR as security, attach endorsed FDR in AVNL name with release terms.

What are the technical requirements for AI-based battery monitoring AVNL

System must be AI-driven with embedded monitoring for lead-acid batteries, microprocessor control, health/state-of-charge estimation, and data analytics. Experience in similar systems for defence procurement is mandatory (7+ years). No explicit IS/ISO standard listed; align with AVNL ATC terms.

What is the EMD amount for AVNL AVADI tender 2025

The EMD amount is ₹58,384. Bidders may pay online via RTGS/Internet banking to AVNL HVF AVADI account and must upload transfer proof. EMD is required to participate and is part of the bid security package.

When is delivery expected after award for AVNL battery system

Delivery schedule is not specified in the BOQ; bidders must adhere to the delivery timeline as per the ATC and award terms. Prepare a robust installation plan with post-delivery support aligned to AVNL defence procurement norms.

What are the security options for AVNL bid performance

Bids can use PBG or FDR. If FDR is used, it must be in AVNL name with the bank certifying withdrawal conditions. Original FDR must be delivered to AVNL within 15 days of contract award, with endorsed back details.

What experience is required to qualify for this AVNL trolley battery system

Qualification requires a minimum of 7 years designing/manufacturing battery monitoring, microprocessor-controlled charger/discharger units, or embedded AI-based monitoring systems. Provide relevant project experience certificates and references to demonstrate capability.

What documents prove vendor eligibility for AVNL GeM procurement

Submit PAN, GSTIN, cancelled cheque, EFT mandate, and online EMD proof. Include vendor code creation documents. If applicable, provide OEM authorizations or evidence of capability for AI-based lead-acid monitoring suitable for defence production.