Bahnbrechende Analytik

Our trusted analytics platform delivers industry-leading accuracy with precision rates exceeding 95% for State of Health (SOH) predictions and 98% for State of Charge (SOC) estimations. We achieve this through advanced machine learning algorithms trained on millions of real-world battery cycles across diverse chemistries and operating conditions. Our battery health monitoring system continuously calibrates itself using proprietary sensor fusion technology, accounting for temperature variations, charge-discharge patterns, and environmental factors. Independent third-party validation confirms our platform outperforms traditional Battery Management Systems (BMS) by 30-40% in predictive accuracy. This precision translates directly to reduced downtime, extended battery life, and significant cost savings for your fleet operations.

Yes, our battery analytics platform is designed for seamless integration with all major fleet management systems. We offer flexible API connections, cloud-based data synchronization, and pre-built integrations with leading platforms including Geotab, Samsara, Verizon Connect, Fleet Complete, and Teletrac Navman. Our open-architecture system supports standard protocols (REST API, MQTT, CAN bus, Modbus) ensuring compatibility with legacy systems and custom software solutions.

Implementation typically requires minimal IT resources—our technical team handles the heavy lifting. You'll gain unified dashboard access to battery health data alongside your existing fleet metrics, enabling centralized monitoring, automated alerts, and comprehensive reporting. Whether you operate 10 vehicles or 10,000, our scalable battery control system adapts to your infrastructure without disrupting current operations.

Implementation timelines vary based on fleet size and complexity, but most organizations achieve full deployment within 2-8 weeks:

Week 1-2: Discovery and planning—our team assesses your battery infrastructure, defines integration requirements, and configures the analytics platform for your specific battery chemistries and use cases.

Week 2-4: Hardware installation (if required) and software integration—we deploy sensors, connect to existing BMS systems, and establish data pipelines to your fleet management software.

Week 4-6: Testing and calibration—our battery health monitoring system begins collecting baseline data, calibrating algorithms, and validating accuracy across your fleet.

Week 6-8: Training and go-live—your team receive comprehensive training on dashboard navigation, alert management, and reporting features. Full operational handoff with ongoing support.

For pilot programs or smaller fleets (under 50 batteries), we can achieve deployment in as little as 1-2 weeks. Enterprise implementations with custom integrations may extend to 10-12 weeks. Our project management team provides transparent timelines and milestone tracking throughout the process.

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Our battery analytics platform is chemistry-agnostic, supporting all major battery types through adaptive algorithms and chemistry-specific calibration:

Supported Chemistries:

• Lithium-ion variants: NMC, NCA, LFP (LiFePO4), LTO

• Lead-acid: Flooded, AGM, Gel

• Nickel-based: NiMH, NiCd

• Emerging technologies: Solid-state, sodium-ion, lithium-sulfur

How We Adapt: Our machine learning models are trained on extensive datasets for each chemistry, recognizing unique degradation patterns, voltage characteristics, and thermal behaviors. During implementation, we configure the platform with your specific battery specifications—chemistry type, cell configuration, manufacturer parameters—ensuring accurate SOH calculations and predictive analytics.

Multi-Chemistry Fleets: If you operate mixed battery types (common in transitioning fleets), our battery health monitoring system manages all chemistries from a single dashboard, applying appropriate algorithms to each battery type automatically.

Future-Proof Technology: As new battery chemistries emerge, our platform updates seamlessly through cloud-based algorithm deployments—no hardware changes required.

This chemistry flexibility makes our trusted analytics platform ideal for organizations managing diverse battery assets or planning technology transitions, ensuring consistent monitoring regardless of battery type.

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Yes, we provide comprehensive EV battery health check services for both individual vehicles and entire fleets. Our battery analytics platform delivers:

Remote Diagnostics: Continuous monitoring without vehicle downtime—our system analyzes battery performance data in real-time, identifying degradation patterns, cell imbalances, and potential failures before they impact operations.

On-Demand Health Reports: Detailed SOH assessments, capacity fade analysis, internal resistance measurements, and remaining useful life predictions—essential for warranty claims, resale valuations, and maintenance planning.

Pre-Purchase Inspections: Independent battery condition assessments for used EV acquisitions, providing buyers with transparent health scores and future performance projections.

Certification Services: Third-party validated battery health certificates supporting second-life applications, insurance requirements, and compliance documentation.

Fleet-Wide Audits: Comprehensive battery health benchmarking across your entire fleet, identifying underperforming units, optimizing rotation schedules, and prioritizing replacement investments.

Our EV battery health check services combine automated monitoring with expert analysis, delivering actionable insights that reduce unexpected failures by up to 85% and extend battery service life by 25-30%.