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BATTERMACHINE / BMS ENGINEERING

AI and engineering.
For your BMS project.

Customized AI4BMS, engineering services and consulting. Bring AI into your development workflow, get support with project delivery, or strengthen your engineering process.

AI4BMS workspace · Invitation-only pilot

AI4BMS
WORK PRODUCT EXAMPLE
AUTOMOTIVE HIGH-VOLTAGE BMSDRAFT · FOR REVIEW

System logical view

Cell monitoringPack measurement
BMU / Pack controller
State estimationProtection logicEnergy limitsDiagnostics
HV controlVehicle / ChargerThermal management

Keep assumptions and open questions alongside the result.

Simplified illustration · Not a live project or validated output
From the first engineering question to a reviewable work product.SYSTEM / HARDWARE / SOFTWARE

01 / OUR SERVICES

Three ways to move your BMS project forward.

AI tailored to your team, engineering work delivered with you, and expert guidance. Start with the support your project needs.

01

Customized AI4BMS

Configure AI4BMS around your team’s knowledge, terminology, work-product templates and review process. Define the workflows and integration scope together.

  • Project-specific knowledge
  • Work-product templates
  • Agent workflows & evaluation
Discuss customized AI4BMS
02

Engineering services

Get hands-on support for BMS requirements, architecture, development and verification. Agree the work scope, deliverables, responsibilities and review criteria before starting.

  • System, hardware & software work
  • Development & verification support
  • Defined deliverables and review gates
Discuss engineering support
03

Consulting

Plan your BMS development approach and apply functional-safety and development-process practices. Support your team with training, deliverable reviews and improvement guidance.

  • BMS development strategy
  • ISO 26262 & ASPICE guidance
  • Training and engineering reviews
Discuss consulting

Each engagement starts with an agreed scope. Customization and service delivery are separate from access to the AI4BMS pilot workspace.

02 / THE AI4BMS WORKSPACE

Your AI BMS engineer. Your project context.

Ask a focused question or develop a structured deliverable. The output follows the task—not a fixed chat template.

01

Architecture packages

Explore system, hardware and software architectures through multiple views. Review components, interfaces, assumptions and design decisions.

Functional · Logical · Physical · Interfaces
02

Requirements baselines

Draft reference requirements with identifiers, allocation and verification criteria. Keep missing project values visible as TBD.

Scope · Traceability · Acceptance criteria
03

BMS IC comparisons

Compare candidates for the requested IC category using available manufacturer evidence. Review source dates, conditions and missing specifications.

Monitors · MCUs · Power · Interfaces
04

Engineering answers

Discuss a design choice, investigate a problem or refine saved work. Keep recommendations, open questions and review boundaries together.

Questions · Trade-offs · Next actions

03 / YOUR PROJECT, CONNECTED

An engineering workspace. Not another isolated answer.

The goal is simple: help one BMS engineer work across a project with AI agents. Today, the workspace brings project context, documents and saved work into a lifecycle structure.

  1. 01Concept & scope
  2. 02Requirements
  3. 03Architecture & design
  4. 04Development
  5. 05Integration
  6. 06Verification & validation
  7. 07Production & release
  8. 08Field & change
01

Define the context

Choose a project, add relevant documents and explain the work you need. Keep assumptions and missing inputs explicit.

02

Develop the work

Ask questions or draft a deliverable. Revisit saved answers and discuss the next revision in the same project.

03

Review before release

Check source support, applicability and test evidence. An engineer owns the final decision and approval.

Lifecycle organization does not mean automated stage completion. Safety, validation and process support remain beta capabilities; AI outputs are drafts, not approved engineering evidence.

04 / BEYOND YOUR PROJECT

Keep an eye on what’s next.

BMS Radar brings news, technology trends and academic research together—separate from your project’s engineering knowledge. Choose an item when you want to analyze its relevance.

Explore BMS Radar

BEFORE YOU START

A few useful answers.

How are the three services different?

Customized AI4BMS adapts the AI tools and workflows to your organization. Engineering services support agreed development work and deliverables. Consulting provides guidance, training and reviews to improve your team’s approach. The scope of each engagement is agreed separately.

Who is AI4BMS for?

BMS engineers working on automotive battery systems. Start with a specific engineering question, an architecture package, a requirements baseline or an IC comparison.

Can AI4BMS complete and approve a BMS project by itself?

No. It supports engineering work; it does not replace qualified review, physical testing or project approval. Safety claims, ASIL allocations and release decisions require project-specific evidence and human responsibility.

How do I get access?

The current version is an invitation-only pilot. Use the name, email and access code provided for the pilot on the sign-in page. Contact BatterMachine if you need an invitation.

Is there a Korean version?

The public website and sign-in flow are available in English and Korean. The engineering workspace and BMS Radar currently use English UI labels; generated engineering content is not claimed to be fully localized or language-validated.

How are documents and AI used?

Projects, saved work and uploaded files are stored through the operator’s private Knowledge Node. Relevant excerpts and your request may be sent to the configured AI provider. Confirm permission before uploading confidential or licensed material.

LET’S DEFINE THE NEXT STEP

Tell us what you’re building.

Customized AI4BMS, engineering support or consulting—tell us your project, the work you need and your timeline.