SVOLT Energy Technology (Ganzhou) Co., Ltd. (Stock Code: 688567.SH), founded in 2009, specializes in the R&D, manufacturing, and sales of battery systems for new energy vehicles and energy storage systems. The company is committed to delivering leading, green solutions for global new energy applications.
SVOLT’s core product—pouch-type lithium-ion batteries—delivers outstanding performance with high energy density, strong safety, long cycle life, fast charging capability, and excellent temperature adaptability.
As one of the global leaders in pouch-type动力电池, SVOLT ranked among the top 8 globally in EV battery installations in 2023 and has consistently held a top-3 position worldwide in pouch-type battery installations for multiple years. From 2017 to 2024, it has maintained the No.1 spot in China for eight consecutive years.
SVOLT is accelerating its journey toward digitalization and intelligent manufacturing. By building a unified data platform, the company plans a comprehensive upgrade of its IT systems to establish a powerful “Data Intelligence Brain,” enabling more efficient data-driven decision-making. In this transformation, YMatrix has become a key partner—leveraging its exceptional data processing capabilities and performance—to support SVOLT’s end-to-end data consolidation and analytics upgrade, laying a solid digital foundation for smart manufacturing.
While traditional manufacturers struggle with collecting production-line data and tuning parameters, SVOLT has already built advanced digital production lines—transforming every process and inspection into traceable, queryable digital assets.
Now, SVOLT plans to comprehensively upgrade its enterprise-wide data infrastructure and application systems. The goal is to build a unified “Data Intelligence Brain” on a single data platform, enabling full control and utilization of hundreds of terabytes of existing data across R&D, manufacturing, and global operations.
This platform supports end-to-end data collection, cleansing, governance, application, analysis, and mining across all key phases—from analysis and design through R&D, manufacturing, management, operations, and maintenance services. It enables full lifecycle visibility, manageability, and controllability of data. Aligned with automotive and new energy industry standards, it supports full traceability, improves operational efficiency, and meets regulatory and production requirements. It also enables rapid data mining and deep analytics to enhance overall production efficiency and business profitability.
Leveraging next-generation IT technologies—modular architecture, microservices, and cloud-native design—SVOLT is building a global PLM platform. This defines standardized global business processes and a modern technical architecture. Following a “small tools, big impact” strategy, the platform delivers highly efficient, stable, and flexible services across departments—accelerating product innovation and R&D efficiency.
Taking the battery traceability system as a catalyst, SVOLT initiated a strategic upgrade of its legacy data infrastructure—replacing fragmented databases (Oracle, SQL Server, MySQL, etc.) with a unified, next-generation solution. The ultimate goal: a one-stop data infrastructure for the entire group.
In the grand vision of the “Data Intelligence Brain,” a robust and unified data foundation is the cornerstone of all applications.
To achieve this, SVOLT launched a data lakehouse project. The initiative integrates heterogeneous data sources across business systems through:
Built on a unified lakehouse storage layer and powered by a stream-batch unified analytics engine, the platform supports PB-scale multimodal data storage and processing. It handles diverse workloads—including streaming/batch processing, analytics, and data science—and provides an integrated environment for data exploration and development.
In 2018, China’s Ministry of Industry and Information Technology (MIIT), along with six other departments, enacted the Interim Measures for the Management of Recycling and Utilization of Power Batteries for New Energy Vehicles, mandating a national traceability management platform to track batteries across their entire lifecycle—from production and sales to usage, retirement, recycling, and reuse.
Building compliant traceability capabilities posed significant data integration challenges:
First, aggregating massive volumes of production-line data was extremely difficult. Equipment and solutions from multiple vendors used inconsistent data standards. Subsequent data cleansing and transformation into a unified, high-quality format added further complexity—demanding a data infrastructure capable of high-throughput ingestion, scalable storage, and powerful computation.
Second, traceability queries are not simple point lookups. They often involve complex joins across multiple large tables—some containing tens of billions of rows. Thus, query performance under massive data volumes became a critical evaluation criterion for the new infrastructure.
Third, elasticity and cost efficiency were essential. Rapid data growth required high compression ratios to reduce storage costs. Meanwhile, expanding production and new applications demanded flexible scaling of both storage and compute resources.
These requirements defined SVOLT’s non-negotiable database selection criteria.
During the pre-research phase, SVOLT tested several data platforms. While basic functionality was met, query performance—especially for complex analytical workloads—was suboptimal. Later, after evaluating YMatrix’s strengths in time-series processing, data warehousing, performance, and cost efficiency, SVOLT conducted an extensive Proof of Concept (PoC). Results showed that YMatrix excelled in data ingestion, query performance (particularly for complex queries), and compression ratio. Consequently, YMatrix was selected as the unified production data platform for Phase 1 deployment.
Per the implementation plan, SVOLT migrated all battery development data—including manufacturing processes, repairs, materials, rework, barcode associations, raw materials, workflows, cell/module repair logs, and Pack assembly steps—into the data warehouse for centralized processing. This achieved end-to-end data aggregation across the entire production lifecycle, fully satisfying traceability requirements for cell manufacturing.
Beyond performance, YMatrix delivered exceptional compression: the same production data now occupies only 1/10th of the original storage footprint.
As an advanced manufacturer, SVOLT operates highly digitized production lines supported by dozens of business systems—each using different databases in silos:
Prior to 2022, data primarily served shop-floor operators and managers. Although real-time monitoring and process control were mature, the lack of data consolidation and insufficient database performance prevented deep, multi-dimensional analytics or long-term historical trend analysis.
With the data lakehouse in place, standardized data—powered by YMatrix’s high-performance analytics engine—unlocked new value:
Traditional SPC (Statistical Process Control) now uses cleansed, aggregated data as its source. Combined with curated data models and datasets, users can perform self-service, customized analysis—enabling precise, actionable insights.
Through standardized data governance and project execution, SVOLT has cataloged and classified its enterprise-wide data assets, defined key metrics and datasets, and established clear pathways for data aggregation by business domain. This has built a data-driven decision support capability, significantly elevating the company’s digital maturity.
Built on YMatrix, SVOLT has established a unified data foundation that seamlessly integrates data across multiple business systems and sources. This infrastructure provides a holistic, real-time view of operations—delivering the robust data backbone needed to realize SVOLT’s ambitious “smart manufacturing” vision.
Looking ahead, SVOLT will:
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