Siemens Digital Core Empowers New Energy Vehicle Intelligent Manufacturing Upgrades, Building Core Competitiveness for Next-Generation Vehicle Manufacturing
2026-07-31

I. Shifting Competition in the New Energy Vehicle Industry: Manufacturing Capability Replication Becomes Key to Success

The competitive logic in the new energy vehicle sector continues to evolve. The industry has moved beyond the stage of extensive capacity expansion, and rapid model iteration, flexible co-production lines for multiple models, and simultaneous production in multiple global factories have become the norm. OEMs face multiple challenges: the cycle from new model R&D to mass production is continuously compressed, and the workload of production line modifications is surging; domestic and international factories need to maintain unified manufacturing standards, quality control, and energy and carbon compliance; data fragmentation exists between parts supply, equipment integration, and on-site production operations, lengthening the capacity ramp-up period.

To break through manufacturing bottlenecks, simply adding new production line equipment is insufficient to maintain a long-term competitive advantage. The core demand of enterprises has shifted to rapidly replicating mature manufacturing systems to reduce the time and financial losses caused by production line debugging and changes. Siemens released a white paper titled "Dual Engines of Intelligent Manufacturing: Intelligent Manufacturing and Equipment Engineering for New Energy Vehicles Based on a Digital Framework," proposing to connect OEMs and equipment suppliers through a digital framework. This involves bringing forward a large amount of engineering verification work and transforming mature processes and control solutions into standardized, reusable assets. During production line upgrades, numerous Siemens automation spare parts and PLC system spare parts play a fundamental supporting role. Siemens Simatic S5 and Siemens Simatic S7 series PLC system spare parts are widely used in the transformation of existing production lines, combined with Siemens MICROMASTER, Siemens SIMOVERT, and Siemens SINAMICS drive products, ensuring a smooth transition between old and new production lines and realizing the implementation of digital transformation.

II. The Digital Framework Solves Pain Points in Intelligent Manufacturing, Building a Closed-Loop Link from Design to Mass Production

Traditional automotive manufacturing adopts a serial development model, where product design, process planning, and equipment debugging are independent. Various problems often surface during equipment installation and trial production, resulting in high change-of-contact costs. Meanwhile, the lack of interconnectivity between product lifecycle management, on-site production data, and automated control systems hinders the implementation of flexible production for multiple vehicle models. The establishment of overseas bases further exacerbates the difficulty of standardization and quality control.

The digital pipeline builds a dynamically linked data flow across four dimensions: product, process, equipment, and production operations, constructing a complete closed loop of "design—manufacturing—production feedback—continuous optimization." Changes generated at the design stage can be synchronized to the production line planning stage in real time, and workshop operation data can be fed back to the engineering and R&D stage. The stable operation of the entire chain relies on underlying automated hardware support. The Siemens SIMODRIVE drive system and Siemens Simadyn control system, as core components for motion control in high-end production lines, work in conjunction with the Simatic series PLCs to complete equipment logic scheduling. Many new energy vehicle companies in the market often require reliable Siemens automation parts to ensure uninterrupted production lines, support data acquisition and command issuance for the digital pipeline, and bridge the data gap between virtual simulation and the physical production line.

III. Two Main Lines and Ten Application Scenarios: Digital Twins and Industrial AI Drive Engineering Model Innovation

The white paper proposes two synergistic digital main lines: a smart manufacturing digital main line for OEMs, covering concurrent engineering, supplier collaboration, production line debugging, and production optimization; and an advanced equipment engineering digital main line for equipment manufacturers, spanning the entire process from project bidding, equipment simulation, electrical design, and virtual debugging. These two main lines are broken down into ten application scenarios and 37 practical use cases, driving a shift from serial collaboration to parallel virtual verification.

Digital twins are the core tool in this system. Before the physical production line is built, robot motion trajectories, production cycle times, and automation program simulation verification are completed in advance, significantly reducing on-site trial-and-error costs. Verified control programs and equipment modules can form standardized assets. Industrial AI is further implemented in scenarios such as visual quality inspection, predictive maintenance, and automated code generation, while the large-scale application of AI relies on the continuously accumulated process data from the digital main lines. In scenarios involving the mixed operation of new and old production lines, the Siemens Texas Instruments joint solution and the next-generation Siemens SINAMICS drives can adapt to the flexible production line control requirements. For older production lines, Simatic S5 and Simatic S7 PLC Systems spare parts effectively extend equipment lifespan, helping companies complete digital transformation in stages without requiring a one-time complete replacement of all production line hardware.

IV. Siemens Xcelerator Open Ecosystem Drives Large-Scale Implementation of Digital Solutions

Single industrial software and automation hardware are insufficient to meet the complex needs of new energy vehicle factories; robots, machine vision, industrial intelligent agents, and carbon management systems need to be integrated and combined. The Siemens Xcelerator open digital business platform serves as an ecosystem link, bridging the technology supply side and the manufacturing enterprise demand side. As of July 2026, the platform has gathered over 600,000 registered users, more than 550 ecosystem partners, and launched over 800 industry solutions.

OEMs and component suppliers can leverage the platform to select visual inspection, flexible assembly, and predictive maintenance solutions, quickly replicating them across global factories after small-scale pilot testing. Equipment suppliers can package mechanical, electrical, and automation solutions into standardized modules. Ecosystem partner solutions can be deeply integrated with Siemens' native hardware and software, coupled with a complete range of Siemens automation parts and PLC Systems spare parts, providing OEMs with integrated delivery solutions. Whether it's a brand-new power battery production line, a vehicle assembly workshop, or an intelligent upgrade of an existing factory, a complete spare parts supply chain ensures the stable operation of automated control systems.

V. Building on Long-Term Manufacturing Barriers: OEMs and Ecosystem Partners Jointly Build a New Path for Digital Transformation

Digital transformation is not simply about bulk purchasing industrial software and automation equipment. What truly builds a competitive barrier for enterprises is the continuous accumulation of reusable process assets, engineering experience, and data systems. Competition in the new energy vehicle industry has entered a more complex phase, focusing on low-cost, high-efficiency replication of high-quality manufacturing capabilities.

The digital framework, combined with the Xcelerator open ecosystem, provides a clear transformation path for OEMs, component manufacturers, equipment companies, and industrial AI service providers. Enterprises can gradually implement virtual commissioning, production line simulation, and intelligent quality inspection projects, relying on mature automation products such as Simatic S7, SINAMICS, SIMODRIVE, Simadyn, MICROMASTER, and SIMOVERT, along with a stable supply of Siemens automation parts and PLC System spare parts, to solidify their hardware foundation. Simultaneously, enterprises need to set quantifiable business goals and systematically promote data governance and organizational collaboration.

In the future, enterprises that can deeply integrate into the open industrial ecosystem and achieve virtual-physical integrated manufacturing based on the digital thread will continue to lead the industry. For all types of manufacturing entities, relying on a mature automation hardware foundation, collaborating with ecosystem partners to jointly verify digital solutions, and continuously accumulating engineering assets are core choices for building long-term intelligent manufacturing competitiveness.

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Siemens Digital Core Empowers New Energy Vehicle Intelligent Manufacturing Upgrades, Building Core Competitiveness for Next-Generation Vehicle Manufacturing2026-07-31

Siemens Digital Core Empowers New Energy Vehicle Intelligent Manufacturing Upgrades, Building Core Competitiveness for Next-Generation Vehicle Manufacturing
2026-07-31