Save More, Worry Less, Stay Safer: Foton's Intelligent Power-Battery Health Management Technology Guards New-Energy Commercial Vehicle Users
As new-energy commercial vehicles become widely adopted in urban logistics, municipal bus services and short-haul transport, the safety status, service life and maintenance cost of power batteries have become the core concerns of both individual owners and fleet operators. Opaque battery health conditions and hard-to-detect latent risks mean that the traditional, crude maintenance approach of "repair only when it breaks" keeps accumulating risk and cost throughout operations, which eventually surfaces all at once as a roadside breakdown or a costly battery replacement.
Addressing these pain points in using, maintaining and managing vehicles, Foton Motor has relied on its vehicle-internet big-data platform and two self-developed core technologies — power-battery health assessment and power-battery risk early warning — to integrate vehicle-charger-cloud full-scenario data into a "data + knowledge" dual-driven battery health diagnostic solution. The solution serves both individual owners and fleet enterprises in logistics and public transit, providing solid "save more, worry less, stay safer" assurance across the full life cycle of new-energy commercial vehicle operations.
Full-category, full-scenario coverage with precise risk prediction
Foton's self-developed battery health management system delivers industry-leading early risk identification capability, combining broad compatibility with high-precision warning to move risk detection ahead of failure.
The system covers the entire range of new-energy commercial vehicles — heavy trucks, light trucks, micro vehicles, large and medium coaches, vans and pickups — and supports pure-electric, hybrid and hydrogen-fuel powertrain models. It is compatible with mainstream battery chemistries including lithium iron phosphate, ternary, lithium manganese oxide and lithium titanate, and monitors more than 50 operating indicators online. It can capture faint battery anomalies and latent faults more than 10 days in advance, and forecast battery degradation trends 3 to 6 months ahead.
The platform currently covers 518 vehicle models and more than 200,000 vehicles. Over more than five years of live operation, it has effectively identified market risks more than 200 times, achieving a 98% early-warning accuracy and a thermal-runaway warning accuracy of 99% or higher, with no related safety incidents to date. It has successfully averted sudden vehicle failures and roadside breakdowns caused by battery deterioration, firmly protecting the operational safety baseline for users.
Closed-loop risk control supporting efficient operations for major customers
For large fleet customers such as logistics companies and transit groups — characterized by large vehicle counts, complex operating conditions and difficult maintenance management — Foton Motor has built a fully closed-loop risk control system of "monitoring – warning – handling – verification" through multi-platform coordination, upgrading scattered and reactive fleet battery maintenance into unified, closed-loop systematic management.
The system breaks down data barriers between the vehicle side, the enterprise side and the service side, and is paired with a multi-level personnel response mechanism. It enables batch monitoring of fleet battery status, unified risk control and closed-loop fault handling, achieving a risk-control closure rate above 80% and an overall 30% improvement in maintenance efficiency. On one hand, it screens out latent faults in fleet vehicles in advance, preventing vehicles from operating in poor condition and safeguarding fleet availability and operational stability. On the other hand, it eliminates over-repair and ineffective maintenance, precisely controlling total fleet operating costs and providing a solid foundation for scaled fleet operations.
Multi-dimensional intelligent assessment makes vehicle condition transparent and quantifiable
Foton's self-developed intelligent assessment algorithm breaks through the industry's limitation of single-indicator evaluation. By combining multi-dimensional data on battery capacity, operating risk, charge-discharge habits and driving behaviour, it generates a standardized, quantifiable battery health score. It precisely outputs real-time battery health status, life prediction and risk assessment, and accurately evaluates residual battery value — turning a battery health condition that was long "invisible and impossible to pin down" into something transparent, quantifiable and actionable.
The platform also offers explainable diagnostics: beyond the health score, it flags potential risks, severity levels and reasonable operating recommendations for any indicator that falls below expectations. For individual owners, it helps them accurately understand vehicle condition and optimize driving and charging habits to avoid battery damage from improper operation. For fleet enterprises, it provides a scientific, quantified basis for vehicle retirement and renewal, used-vehicle transactions, battery asset utilization and battery banking — making the entire process of using, managing and replacing vehicles transparent and controllable, and preventing asset loss.
Full life-cycle cost reduction and efficiency gains
The power battery is the single most expensive component in a new-energy commercial vehicle. Shifting battery maintenance from the crude model of "repair only when it breaks" toward "data-driven, on-demand, preventive maintenance" is the key to lowering users' total operating costs.
Through big-data analysis, this technology optimizes vehicle charge-discharge strategies and corrects poor driving habits, effectively improving energy efficiency and reducing routine charging consumption and expense. The platform's state-of-health (SOH) estimation error is no more than 5%, with applicable coverage of 95% or higher. Backed by precise battery health assessment, it anticipates ageing and degradation trends in advance and scientifically guides maintenance plans, extending battery service life by one to two years and substantially reducing replacement frequency.
Field data shows the technology helps users cut battery life-cycle costs by more than 15%, while intelligent online monitoring reduces manual inspection workload by 75%, greatly saving labour and time costs. Users can say goodbye to blind repairs and premature replacements, achieving worry-free maintenance and precise vehicle use.
Multi-platform deployment unlocks data value across the full life cycle
Today, this battery health assessment and risk early-warning capability has completed migration to multiple platforms and gone live in real business scenarios: battery health lookup and assessment functions are now available on the Foton e-Home app, the digital-intelligent fleet management ecosystem system, and the Hui Xiang Fu used-vehicle platform, allowing both individual owners and fleet enterprises to check battery health through multiple channels.
Battery health management is moving from a platform capability into user scenarios, from single-vehicle inspection into fleet operations, and from the vehicle-use stage into used-vehicle appraisal and battery asset disposal. Battery health status has shifted from "invisible and hard to describe" to "searchable, quantifiable and actionable," allowing battery data to keep generating value across the full life cycle of buying, using, maintaining and replacing vehicles.
From passively repairing faults to proactively preventing risks, and from blind vehicle upkeep to data-driven precision management, Foton Motor's power-battery health management platform protects the safety baseline with high-precision early warning, improves user returns through full life-cycle cost reduction and efficiency gains, removes valuation blind spots with transparent and quantifiable vehicle-condition data, and unlocks battery data value through multi-platform deployment — continuously safeguarding new-energy commercial vehicle users in their pursuit of "save more, worry less, stay safer" operations across the entire vehicle life cycle.