Electric Vehicle Repair Tech Priorities Revealed in New Study
As the global automotive industry accelerates its shift toward electrification, the service and maintenance sector faces a transformative challenge. With over 3.36 billion vehicles on China’s roads by the end of 2023 and more than 400,000 repair facilities nationwide, the pressure on traditional auto repair businesses to adapt has never been greater. Electric vehicles (EVs) are not only redefining how people drive but also how vehicles are maintained. Unlike internal combustion engine vehicles that require frequent oil changes and mechanical tune-ups, EVs demand specialized knowledge in high-voltage systems, software diagnostics, and advanced sensor integration. This shift is altering the very fabric of the automotive after-sales service landscape.
A recent empirical study conducted by researchers from the Research Institute of Highway at the Ministry of Transport and the Key Laboratory of Operation Safety Technology on Transport Vehicles in Beijing sheds new light on the evolving needs of EV repair technicians and service providers. The research, published in Transport Energy Conservation and Environmental Protection, analyzes ten key EV maintenance technologies through the lens of the KANO model—a well-established framework for understanding customer satisfaction and product feature prioritization. By applying this model to the technical demands of repair enterprises, the study identifies which innovations are essential, which enhance service quality, and which remain on the periphery of current industry expectations.
The findings reveal a clear hierarchy in technological necessity. Among the most critical are air tightness detection and sensor maintenance—two capabilities now considered fundamental for any EV-capable repair shop. These functions, once viewed as niche or optional, have transitioned into must-have competencies due to the increasing complexity of electric powertrains and the integration of advanced driver assistance systems (ADAS). As modern EVs rely heavily on sealed battery enclosures and a network of precision sensors for safety and performance, failure to properly inspect or calibrate these components can lead to serious operational risks, including electrical faults, reduced battery life, or even safety hazards.
Air tightness testing, in particular, ensures that high-voltage battery packs and other critical electrical components remain protected from moisture, dust, and environmental contaminants. A compromised seal can lead to short circuits, corrosion, or thermal runaway in extreme cases. Despite its importance, the study notes that standardized procedures for conducting such tests are still underdeveloped across the industry. Many independent repair shops lack both the equipment and training to perform reliable air tightness checks, creating a gap between regulatory expectations and practical capability.
Similarly, sensor maintenance—especially for cameras, radar units, and LiDAR systems—has become indispensable. These sensors form the backbone of ADAS features like automatic emergency braking, lane-keeping assist, and adaptive cruise control. However, even minor misalignments caused by routine bodywork or suspension adjustments can degrade system performance. The study emphasizes that recalibration is not a luxury but a necessity after certain repairs, yet many workshops do not offer this service due to cost, complexity, or lack of manufacturer authorization.
What makes this research particularly valuable is its methodological rigor. Rather than relying on anecdotal evidence or expert opinion alone, the team led by Chen Chaozhou employed a structured survey of repair enterprises actively engaged in EV servicing. Using the KANO model, they categorized each technology based on how its presence or absence affects customer satisfaction—or in this case, the perceived value and feasibility from the repair shop’s perspective. The model distinguishes between five types of attributes: must-be (basic needs), one-dimensional (performance-driven), attractive (delighters), indifferent (irrelevant), and reverse (detrimental).
The results show that while air tightness and sensor repair fall into the “must-be” category—meaning their absence significantly reduces trust and operational capability—other technologies occupy different tiers of importance. For instance, three-phase disassembly and reassembly of powertrain components (battery, motor, controller), fault diagnosis, and circuit board repair are classified as “one-dimensional” attributes. Their level of implementation directly correlates with perceived service quality: the better these skills are mastered, the higher the satisfaction and confidence among repair operators.
These findings underscore a growing skills gap in the aftermarket sector. While manufacturers equip their dealerships with proprietary tools and training programs, independent garages often struggle to access equivalent resources. This creates a two-tiered repair ecosystem where only authorized centers can perform certain high-tech services, limiting consumer choice and potentially inflating repair costs. The study calls for greater standardization and knowledge sharing to level the playing field.
On the other hand, emerging technologies such as augmented reality (AR)-assisted repair, big data analytics, and software troubleshooting are categorized as “attractive” or “delighter” features. Their presence is not yet expected by most repair shops, but when available, they significantly boost efficiency and diagnostic accuracy. AR overlays, for example, can guide technicians through complex disassembly sequences using real-time visual cues, reducing errors and training time. Big data platforms can compare vehicle error codes against vast historical databases to predict failures before they occur. Software updates and bug fixes, once the domain of dealership scan tools, are becoming increasingly necessary as EVs rely more on over-the-air (OTA) programming.
However, the adoption of these advanced tools remains limited. The study suggests that while repair businesses recognize their potential, widespread implementation is hindered by high initial investment, uncertain return on investment, and concerns about data security and intellectual property. Moreover, automakers often restrict access to firmware and diagnostic protocols, effectively locking third-party shops out of critical repair functions. This raises broader questions about right-to-repair legislation and the need for open standards in the EV era.
Interestingly, some technologies traditionally seen as vital—such as battery state-of-health (SOH) assessment and cell balancing—are currently viewed as “indifferent” by many repair facilities. This does not mean they are unimportant; rather, it reflects the reality that these tasks are typically handled by original equipment manufacturers (OEMs) or specialized battery service centers. Most general repair shops lack the diagnostic hardware, safety certifications, or liability coverage to engage in deep battery servicing. As a result, while SOH testing is crucial for determining battery longevity and residual value, it remains outside the scope of everyday repair operations.
This highlights a key insight from the study: the evolution of repair technology demand is not just about what tools exist, but about where responsibility lies. As vehicles become more integrated and software-defined, the line between manufacturer and service provider blurs. There is a growing need for policy frameworks that define who can perform which repairs, under what conditions, and with what level of oversight.
The research also points to a dynamic progression in how repair technologies are perceived over time. Today’s “attractive” features—like AR or predictive analytics—may become tomorrow’s “must-be” requirements as consumer expectations rise and competition intensifies. Similarly, what is now considered “indifferent” could gain urgency as battery aging becomes a widespread issue in aging EV fleets. The authors emphasize that the classification of repair technologies should not be static but regularly reassessed in response to market changes, technological advancements, and shifts in consumer behavior.
From a strategic standpoint, the study recommends a tiered approach to advancing repair capabilities. First, prioritize the adoption of must-be technologies through regulatory guidance, standardized training, and certification programs. This includes establishing clear protocols for air tightness testing and sensor recalibration, possibly integrated into national inspection and maintenance standards.
Second, support the rollout of one-dimensional technologies by fostering collaboration between OEMs, tool suppliers, and independent repair networks. This could involve creating open-access diagnostic interfaces, subsidized training initiatives, or public-private partnerships aimed at upskilling technicians. The goal is to ensure that core EV repair competencies are widely available, not confined to dealership walls.
Third, encourage pilot projects and demonstration programs for attractive technologies. Governments and industry associations could fund innovation hubs where small and medium-sized repair shops experiment with AR, AI-driven diagnostics, or cloud-based repair management systems. These efforts would help build confidence, reduce perceived risk, and generate best practices for broader deployment.
Finally, for indifferent technologies, the focus should be on long-term capacity building. While widespread adoption may not be urgent, preparing for future demand is essential. This includes investing in research on battery degradation, developing non-destructive testing methods, and exploring modular battery repair solutions that could eventually be decentralized to local workshops.
The implications of this study extend beyond China. As EV adoption grows globally, similar challenges are emerging in Europe, North America, and Southeast Asia. Independent repair sectors in these regions face comparable barriers: restricted access to software, high equipment costs, and a shortage of trained personnel. The KANO-based methodology used in this research offers a replicable framework for assessing repair technology needs in other markets, enabling policymakers and industry leaders to make data-driven decisions.
Moreover, the study aligns with broader sustainability goals. Extending vehicle lifespan through effective maintenance reduces the environmental impact of manufacturing new cars and mining raw materials for batteries. A robust, technically capable repair ecosystem supports circular economy principles by keeping EVs on the road longer and maximizing resource efficiency.
It also addresses equity concerns. If only authorized dealers can perform high-tech repairs, vehicle ownership becomes less accessible to consumers in rural or underserved areas. Empowering independent shops with the tools and knowledge to service EVs ensures that the benefits of electrification are shared more evenly across society.
In conclusion, the transition to electric mobility is not complete until the service infrastructure catches up. This research provides a roadmap for aligning repair technology development with real-world industry needs. It shows that while innovation is important, relevance and usability matter just as much. The most advanced tool is of little value if it sits unused in a shop that lacks the training, confidence, or economic incentive to deploy it.
By identifying air tightness detection and sensor maintenance as foundational capabilities, the study sets a clear benchmark for what constitutes a truly EV-ready repair facility. It challenges stakeholders—from automakers to regulators to vocational educators—to rethink how repair skills are developed, certified, and supported in the digital age.
As the automotive world moves toward a software-defined, electrified future, the role of the technician is evolving from mechanic to technologist. The tools they use, the knowledge they possess, and the standards they follow will determine not only the reliability of EVs but also the inclusivity and resilience of the entire transportation ecosystem. This study, grounded in empirical data and strategic insight, offers a vital contribution to that ongoing transformation.
Chen Chaozhou, Liu Fujia, Wang Ping, Yang Xiaojuan, Research Institute of Highway Ministry of Transport and Key Laboratory of Operation Safety Technology on Transport Vehicles, Transport Energy Conservation and Environmental Protection, doi: 10.3969/j.issn.1673-6478.2024.06.016