In closed-loop transport scenarios such as ports, mines and steelworks, heavy goods vehicles (HGVs) perform continuous, cyclical operations, and their operational efficiency depends directly on the reliability and timeliness of energy replenishment. As a third energy replenishment option alongside diesel and charging, battery swapping derives its value from being fast and reliable—offering an experience akin to refuelling. Should a battery swap fail, it not only interrupts a single operation but may also cause coordinated delays across the entire logistics chain.According to calculations based on real-world scenarios, a single unplanned battery-swapping failure causes an average of 2–4 hours of operational downtime, with a loss of transport capacity per vehicle per day reaching 25%–30%. For commercial vehicles, every minute of downtime translates to operational losses, whilst passenger vehicle users face lengthy waits, significantly diminishing the refuelling experience.

The pain point of “minor faults causing major impacts” at battery swap stations is becoming a key bottleneck constraining the large-scale development of the new energy charging industry.

Major losses stemming from minor faults: traditional technology struggles to meet high-frequency demand

The core value of the charging industry lies in ‘efficiency and reliability’, but in reality, frequent faults at battery swap stations significantly undermine this value.Most technical solutions for heavy-duty truck battery swap stations currently on the market are essentially integrated from generic industrial automation modules. Whilst such solutions may meet basic requirements during infrequent operations or standard test conditions, their systemic shortcomings are laid bare once deployed in real-world operational scenarios such as high-frequency short-haul transport in mines and ports, urban construction waste removal, and cold-chain and express freight trunk logistics.

Traditional battery swap stations typically involve the integration of robotic arms, vision systems, locking mechanisms and control systems supplied by multiple vendors. Under this model, interface protocols between subsystems often suffer from poor compatibility and difficulties in achieving precise coordination of response timing, which can easily lead to systemic risks during actual operation.During continuous operations—whether it be the round-the-clock container transhipment at ports or the three-shift ore transport in mining areas—this ‘patchwork’ architecture is prone to cumulative errors and communication delays, which can trigger cascading failures. Even a minor signal interference may cause the entire battery-swapping process to halt, directly impacting fleet availability and operational efficiency.

Furthermore, as many battery-swapping stations are typically situated in complex environments—such as mining areas with drastic changes in light intensity between day and night, ports subject to humid salt spray corrosion, or northern regions with low winter temperatures and snow accumulation—recognition stability is significantly compromised. Path planning for mechanical movements also often fails to adequately account for practical posture disturbances, such as the differences in chassis deformation between fully loaded and empty dump trucks, or suspension fatigue in cold-chain transport vehicles after prolonged operation. Consequently, positioning success rates gradually decline as operational conditions in various scenarios become more complex.

A deeper issue lies in the systemic absence of reliability engineering in the design. Many critical components have not been designed to accommodate the distinct operational characteristics of different scenarios: for example, the extremely high battery-swapping frequency of several times per hour in short-haul transport scenarios; the stability requirements for continuous cross-regional operation in trunk logistics; and the need for impact resistance during construction waste transport on bumpy roads.Preventive maintenance cycles are out of sync with actual operational rhythms, and spare parts management lacks scenario-specific data support. This results in a non-linear rise in failure rates when equipment faces combined pressures across multiple scenarios, creating systemic risks for large-scale commercial operations.

Nengyi Xing’s fully in-house developed solution eliminates the risk of system failure at its source

To fundamentally address the systemic limitations of traditional solutions, Nengyi Xing has assembled a research and development team with extensive theoretical and practical expertise, leveraging over 30 proprietary intellectual property rights related to automated charging and battery swapping. The entire battery swapping station is developed in-house, spanning hardware, software algorithms and data systems, to build a highly reliable, autonomous and controllable battery swapping system with closed-loop optimisation.By addressing three key dimensions—mechanical structure, software platform and operations and maintenance systems—we have established a dual safeguard of ‘fault prevention + rapid response’, with all solutions grounded in officially disclosed product technology and practical data.

At the mechanical structure level, Nengyi Xing has achieved independent design and manufacturing of everything from core actuators to critical components. The battery-swapping robots, high-precision positioning mechanisms and intelligent locking systems are not simply assembled from off-the-shelf parts, but are deeply integrated products designed for synergy, achieving native integration of electromechanical drive systems. This establishes a fundamental advantage in terms of response speed and control precision.All critical mechanical components are selected and tested to meet a cycle life standard of no less than one million cycles, supplemented by heavy-duty protection design (IP65 or higher protection rating, and the ability to operate across a wide temperature range from -30°C to 50°C), ensuring continuous and stable operation under extreme conditions such as mining dust, port salt spray and the severe cold of northern regions.

At the software algorithm level, Nengyixing has developed an intelligent charging and battery-swapping operations management platform. Adopting a distributed architecture, it supports the stable connection of multiple devices and features a single-node fault redundancy design, thereby avoiding the ‘single point of failure’ drawbacks of traditional centralised architectures. This ensures that the battery-swapping process remains uninterrupted even in the event of network fluctuations. The platform is equipped with an AI diagnostic system that analyses battery health and equipment operational data in real time, providing synchronised fault alerts to further reduce the likelihood of process interruptions.

In terms of operational maintenance and support, Nengyixing has established a ‘proactive warning + rapid repair’ system. Through cloud-based warning systems and remote intelligent maintenance functions, the system enables early identification of equipment faults and remote preliminary troubleshooting; in the event of sudden failures, a professional after-sales service team responds efficiently, utilising standardised fault-handling procedures to significantly reduce repair times.Furthermore, Nengyixing operates a production base in Yangzhou, implementing standardised production SOPs to oversee the entire process from incoming goods inspection to final shipment inspection. The facility holds ISO 9001, ISO 14001 and ISO 45001 certifications, providing a solid guarantee of product stability.

Currently, the electrification of heavy-duty trucks is at a critical juncture, transitioning from pilot projects to large-scale deployment. The operational stability of battery swap stations is no longer merely a technical metric; it has become a core benchmark of infrastructure capability that influences confidence across the entire industry chain. The benefits of full-stack in-house R&D extend beyond breakthroughs in individual technologies; through comprehensive control over underlying technologies, it provides the industry with a reliable solution that remains commercially sustainable even in high-frequency, high-voltage and highly variable operating environments.

In the future, Nengyi Xing will continue to deepen the application of technologies such as AI-powered early warning systems and blockchain-based data traceability, driving the evolution of charging infrastructure from ‘reactive repair’ to ‘proactive prevention’, and providing more stable and efficient intelligent charging support for the global energy transition.