The Ungoverned AI Inside Battery Energy Storage Systems

Every modern BESS product ships with an AI-driven battery management system making thousands of autonomous decisions; these decisions affect grid stability, asset revenue, and physical safety. To date, no lithium-ion BESS manufacturer, holds ISO 42001 certification for the AI embedded in their battery management systems. This article identifies the specific AI risks inside BESS systems, explains why existing standards don't cover them and presents path forward that protects everyone.

Yvette
Yvette Managing Partner
June 01, 2026 5 min read

Battery energy storage systems (BESS) are no longer passive hardware. Every modern BESS product ships with an AI-driven battery management system making thousands of autonomous decisions around state-of-charge, thermal limits, grid dispatch, and fault prediction. These decisions affect grid stability, asset revenue, and physical safety. To date, no lithium-ion BESS manufacturer, including Tesla Energy, CATL, BYD, Sungrow, Fluence, or Ford Energy, holds ISO 42001 certification for the AI embedded in their battery management systems. No utility operating AI-driven storage has achieved ISO 42001 certification for the AI making dispatch, thermal, and fault detection decisions in deployed assets. No data center operator has published ISO 42001 certification covering the AI systems managing their battery storage infrastructure. The US will add 24 GW of new utility-scale battery storage in 2026 alone. The governance gap is not theoretical. It is compounding, right now, across every deployment. This paper identifies the specific AI risks inside BESS systems, explains why existing standards do not cover them, and presents a certification path that protects manufacturers, utilities, and data center operators before regulators or courts force the issue.

The market is moving faster than the governance conversation

Ford Motor Company announced Ford Energy in December 2025, a wholly owned subsidiary targeting 20 GWh of annual BESS production from its Glendale, Kentucky facility, backed by a $2 billion investment over two years. Their flagship product, the Ford Energy DC Block, is a 5.45 MWh containerized system built on 512 Ah lithium iron phosphate cells with a proprietary AI-driven battery management system. EDF Power Solutions signed a five-year, 20 GWh supply agreement within weeks of the announcement. General Motors and LG Energy Solution are executing the same strategy at their Tennessee Ultium plant. Tesla deployed 46.7 GWh of Megapack capacity in 2025.

Industry projections call for over 600 GWh of energy storage on the US grid by 2030. Data centers, which are driving the AI compute build-out, are expected to account for 83% of behind-the-meter commercial and industrial storage deployments by that same year.

Every unit deployed runs an AI system making consequential decisions. No lithium-ion BESS manufacturer has achieved ISO 42001 certification for the AI embedded in their batter management systems.

One energy storage company has moved. In March 2026, Brenmiller Energy achieved ISO 42001 certification for its AI management system covering their thermal energy storage optimization, predictive maintenance, and demand forecasting. Brenmiller uses molten rock thermal storage, not lithium-ion battery chemistry. However, their certification does not cover electrochemical battery management system (BMS) decision-making. But the move confirms the direction of travel. So, the question for Ford Energy, Tesla Energy, CATL, and every lithium-ion BESS manufacturer isn't whether ISO 42001 will be required but WHO certifies first.

The specific risks embedded in AI-driven battery management systems fall into 6 documented categories.

Existing standards are not designed for AI governance. Applying them to AI-driven battery management systems creates dangerous gaps.

IEC 62933. covers electrical and functional safety requirements for energy storage systems. It does not address AI model performance, training data quality, drift detection, or human oversight requirements. Passing IEC 62933 tells you the hardware meets safety thresholds. It says nothing about the AI making decisions inside it.

UL 9540. covers safety standards for energy storage installations. The standard was designed before AI-driven BMS were the norm. It audits the physical system, not the decision-making layer.

Internal monitoring dashboards. offered by every major BESS manufacturer, report on current performance metrics. They are backward-looking instruments. They confirm the system is operating within its current parameters. They do not detect slow divergence between model predictions and actual outcomes. They do not flag when the training distribution no longer matches operational reality.

There is no single federal AI law in the United States. What exists instead is a set of enforceable pressures building from four directions, each of which reaches directly into the BESS sector.

NERC CIP supply chain expansion, enforceable now. FERC finalized a supply chain risk management rule extending protections to network-connected equipment. An AI-driven BMS communicating with grid control systems qualifies. Non-compliance penalties reach $1.54 million per day per violation. FERC has also directed NERC to examine predictive AI in grid operations, building the regulatory record for future binding requirements.

NIST AI RMF Critical Infrastructure Profile, April 2026. NIST released a profile specifically guiding critical infrastructure operators on AI risk management practices. Grid-connected BESS is critical infrastructure by FERC and CISA definition. Federal contractors must demonstrate NIST-aligned AI governance. ISO 42001 maps directly to NIST AI RMF, meaning certification satisfies the federal procurement standard.

Texas TRAIGA, enforceable January 2026. Texas enacted the Responsible AI Governance Act, effective January 1, 2026. Any manufacturer or deployer operating in the ERCOT market, the largest deregulated energy grid in the US, falls under its scope. The law provides an affirmative defense for organizations that adhere to a nationally recognized AI risk management framework. ISO 42001 satisfies that defense.

California CPUC BESS auditing program, active 2026. The California Public Utilities Commission adopted Resolution ESRB-13 requiring BESS facilities to comply with safety rules in General Order 167-C. Twelve BESS audits are scheduled for fiscal year 2025-26. California is the largest US BESS market. AI governance is not yet on the audit checklist. It will be.

Colorado's SB 205, which referenced ISO 42001 as a safe harbor, was repealed by the Colorado legislature in May 2026 and replaced with a disclosure-based framework effective January 2027. It is no longer a compliance driver. Which means the European Union AI Act remains relevant for any organization with European deployments, customers, or supply chain exposure, but it's not the primary urgency driver for US-only operations.

No utility operating AI-driven battery storage has achieved ISO 42001 certification for the AI managing those assets. No data center operator has published ISO 42001 certification covering the AI systems in their battery storage infrastructure. NERC CIP penalties, NIST procurement expectations, Texas law, and California audits are already in effect. The certification gap is not a future problem.

Our Approach

Fusion Collective's BESS AI Governance Program is the first ISO 42001 certification pathway built specifically for battery energy storage manufacturers and their downstream deployers.

The program addresses the governance gap at two levels.

Manufacturers

Who design and embed the AI, receive a complete AI Management System aligned to ISO 42001's 38 Annex A controls, covering all six BMS AI risk categories. This includes training data provenance documentation, human oversight protocols for each high-consequence decision type, model revalidation schedules, and incident response procedures

Deployers

Utilities, data centers, and industrial operators who run AI-embedded BESS carry their own independent compliance obligations. A utility operating Ford Energy DC Blocks needs its own ISO 42001 documentation. The manufacturer's certification does not transfer

Fusion Sentinel, Fusion Collective's continuous monitoring product, tracks real-time performance across all six BMS drift vectors after certification. Monthly drift alerts, quarterly governance reports, and annual surveillance audit support run between ISO 42001 audit cycles. The certification recurs every three years. Sentinel operates continuously, ensuring governance reflects actual system behavior, not a point-in-time assessment.

Implementation

The certification program runs in six phases. You can enter at Phase One for the full program or at the standalone readiness assessment, which is credited toward the full program on engagement.

Implementation Phases

01: Discovery

Weeks 1-4 AI system inventory signed off by engineering and legal. Every AI component in the BMS stack catalogued.

02: Gap Analysis

Weeks 5-8 ISO 42001 gap report across 38 controls. Drift risk matrix for all six BMS vectors. Remediation owners assigned.

03: AIMS Build

Weeks 9-20 Full AI Management System: policy, procedures, oversight protocols, incident playbook, model lifecycle standards.

04: Stage 1 Audit

Weeks 21-24 Certification body reviews all AIMS documentation. Nonconformities resolved before Stage 2.

05: Stage 2 Audit

Weeks 25-32 On-site implementation assessment. Technical witness sessions. Certification recommended.

06: Ongoing

Annual cycle Fusion Sentinel monitoring. Monthly drift alerts. Annual surveillance audit support.

To date, there is no comprehensive federal AI law in the United States but what does exist is more immediate. NERC CIP supply chain standards are already enforceable, with penalties reaching $1.54 million per day per violation. The NIST AI RMF Critical Infrastructure Profile, released in April 2026, explicitly names grid-connected AI as a governance priority and is the reference standard federal procurement is moving toward. Texas law provides an affirmative defense for ISO 42001-aligned organizations operating in the ERCOT market. California is auditing BESS facilities right now. Procurement teams at major utilities and data centers are adding AI governance requirements to supplier qualification. And no governance documentation at all is the worst discovery answer a General Counsel can give when a warranty claim or thermal event produces litigation.

No competitor has taken this step.

The first BESS manufacturer to achieve ISO 42001 certification owns a permanent first-mover position in every regulated market.

Every utility RFP, every federal contract, every data center procurement process will eventually ask for it.

You can answer yes before anyone else can.

BESS AI Governance Assessment

Book a free 30-minute BESS AI Governance assessment with a Fusion Collective ISO 42001 Lead Auditor. The assessment is specific to your system, your deployment markets, and your current AI documentation state. No cost. No obligation.

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