On October 10, the Ministry of Industry and Information Technology (MIIT), the Ministry of Public Security (MPS), the Ministry of Ecology and Environment (MEE), and the State Administration for Market Regulation (SAMR) jointly released the "Notice on Further Strengthening the Management of Innovative Design, R&D Testing, and Validation of Automotive Products (Draft for Comments)", proposing further management requirements for automotive innovative design, R&D testing, and validation.
As this document was released, the debate over "rush-built" cars in the automotive industry continues. Recently, the fracture of a brake pedal bracket from a certain brand has further sparked public concern over component reliability and R&D validation. However, the specific cause of the incident still awaits an authoritative investigation, and it is inappropriate to judge whether the relevant models suffer from shortened R&D processes based solely on this single event. Nevertheless, the public consultation launched by the four ministries has indeed given the discussion on "rush-built" cars a more concrete focus.
Over the past few years, China's automotive industry has continuously broken records for the speed of new car development and market launch. Faster product iterations have helped automakers seize market share and accelerated the rapid application of new technologies. However, as increasingly shorter R&D cycles become part of the competitive edge, a question has emerged: Are automakers shortening development cycles through more efficient engineering methods, or are they compressing the testing and validation that should have been completed?
01. Why Have "Rush-Built" Cars Become an Industry Controversy?
From project initiation to mass production, a new car must go through multiple stages, including architecture design, component development, software integration, prototype manufacturing, whole-vehicle testing, and production preparation. The development cycles for different models inherently vary, and facelift models on mature platforms cannot be simply compared with the development of entirely new platforms.
In the past, automotive R&D cycles were longer, partly because mechanical structure development, supply chain coordination, and experimental validation required substantial time investments. Today, as platform-based development, module reuse, digital simulation, and concurrent engineering continue to mature, many tasks can be advanced simultaneously without strictly following a sequential process.
The shortening of R&D cycles is itself a reflection of improved engineering efficiency. However, the issue arises when the launch milestone becomes a hard target in project management, and the R&D team must complete more work within a limited timeframe. Determining which stages can be optimized and which validations cannot be omitted becomes the true test of an enterprise's engineering capabilities.
Design reuse can reduce repetitive development, automated testing can improve testing efficiency, and simulation can help engineers identify issues earlier. However, if project timelines are compressed and enterprises choose to reduce necessary physical vehicle validation, shrink the coverage of critical tests, or advance to mass production before significant issues have been fully analyzed and resolved, then what is saved is not just R&D time, but potentially the opportunity to discover and correct problems. This is precisely why "rush-built" cars have become a subject of controversy.
It must be clarified that a short development cycle does not directly prove the existence of quality issues in a car. The key is whether the enterprise has completed necessary validations based on the product's design characteristics and potential risks, whether issues found during testing have been properly handled, and whether the final mass-produced product remains consistent with the validated design. Therefore, evaluating a car should not solely depend on how many months it took to develop, nor should its reliability be judged merely by its time-to-market. What truly warrants vigilance is trading necessary validation for launch speed, rather than the speed itself.
02. Why Are the Four Ministries Bringing R&D Validation to the Forefront?
What is noteworthy about this draft for comments from the four ministries is not just the reiteration of product quality, but the further clarification of risk assessment for innovative design, testing and validation, and corporate responsibilities, attempting to integrate relevant requirements into the product R&D and management processes. According to the draft and its technical guidelines, enterprises need to front-load safety risk assessments, analyzing potential failure issues under complex operating conditions and extreme scenarios during the R&D and design phases.
The document also puts forward specific requirements for designs such as door handles, virtual controls, new human-machine interaction systems, and seats. For instance, emergency controls involving safety should be equipped with physical controls and have prominent markings; door handles with innovative designs need to be validated for functional stability in extreme environments and operability in emergencies, while also meeting requirements for mechanical redundancy design and hand operating space. The draft for comments also explicitly proposes banning fully hidden door handles.
Behind these regulations is the reflection that automotive innovation cannot merely prove usability under normal conditions; it must also evaluate potential issues in extreme environments, abnormal states, and emergency situations. Meanwhile, the draft for comments also requires newly declared products to complete testing and validation in areas such as comprehensive reliability and durability, structural reliability, software functional reliability, and environmental adaptability in accordance with the "Technical Specifications for Automotive Product R&D Testing and Validation". The specification proposes that vehicles should conduct reliability validation tests of no less than 30,000 kilometers according to corresponding type approval test procedures and methods; the environmental adaptability validation cycle should be no less than one year, covering two winters and one summer, commonly known as "two winters and one summer".
The relevant requirements also involve the coverage of test vehicles and key configurations, as well as the applicable conditions for alternative tests under specific circumstances. Of course, these are currently proposed requirements in the draft for comments, and the final applicable conditions and implementation methods should be subject to the officially released documents.
03. Why Does Regulation Need to Further Clarify These Requirements?
The reason regulation needs to further clarify these requirements is that the safety risks of automotive products are difficult to detect through a single routine test. A structural component may perform normally in the short term but develop fatigue issues under long-term cyclic loading; a material may show no abnormalities at room temperature but expose defects in high-temperature, high-humidity, or corrosive environments; a software function may run well under normal conditions but exhibit unexpected behavior under sensor anomalies, communication interruptions, or special inputs.
These issues need to be identified through targeted validation and cannot be judged solely based on design calculations, laboratory demonstrations, or limited functional tests. The more explicit testing and validation requirements proposed by the four ministries this time are actually reinforcing a boundary of responsibility: enterprises are not only responsible for product design but should also be able to provide corresponding validation evidence to prove that relevant risks have been reasonably assessed and the products meet applicable safety and quality requirements.
This does not mean that all models must adopt exactly the same R&D cycle, nor does it mean that a fixed set of test plans can cover all risks. Different technologies, structures, and functions require corresponding validation plans tailored to their characteristics and potential failure modes. What regulation needs to clarify is the necessary validation responsibility, rather than simply mandating that all models must complete R&D in the same amount of time.
04. With Simulation Available, Why Still Spend Time on Physical Vehicle Testing?
As digital R&D tools continue to mature, simulation has become an indispensable part of automotive engineering. It can help engineers analyze structural strength, thermal management, vehicle dynamics, and software functions, identifying a large number of issues during the design phase. For test scenarios that can be modeled and repeatedly executed, simulation can also improve validation efficiency and reduce some unnecessary physical tests. However, the credibility of simulation results depends on whether the models, input parameters, boundary conditions, and failure modes are sufficiently accurate. Risks not covered by the model will not automatically disappear just because the number of simulations increases.
Taking structural reliability as an example, engineers can analyze the stress conditions of components under specific loads through calculations, but actual products are also affected by factors such as material properties, manufacturing tolerances, joining processes, and assembly states. For long-term fatigue and complex loads, calculations alone are often insufficient to complete validation, and corresponding tests still need to be arranged based on specific risks.
The same applies to software functions. A large number of virtual scenarios can improve test coverage, but environmental conditions, hardware states, and interactions between different systems in real vehicles may still bring about situations not fully considered during the test design phase. Therefore, the key is not which is more advanced between simulation and physical vehicle testing, but what problems each solves. Simulation can help enterprises discover design defects earlier, screen high-risk operating conditions, and improve the targeting of test design; physical vehicle testing, on the other hand, is used to validate key design assumptions, confirm performance under real operating conditions, and verify the applicability of simulation models in relevant scenarios.
The two need to complement each other, forming a closed loop from problem discovery to validation and rectification, rather than simply replacing each other. Of course, physical vehicle testing is not necessarily more reliable just because the mileage is longer. Test routes, environmental conditions, load distribution, fault records, as well as problem rectification and revalidation, will equally affect validation quality.
The 30,000 kilometers is a proposed requirement put forward in the relevant technical guidelines of the draft for comments, but mileage alone cannot independently prove that the vehicle has covered all risks, let alone replace specialized validation targeting specific failure modes. Truly valuable validation involves designing tests around potential product issues, completing root cause analysis, design rectification, and revalidation after discovering anomalies, until relevant risks are reasonably controlled.
If an enterprise can rely on more mature models, more effective test design, and faster problem closed-loop processes to complete sufficient validation in a shorter time, it indicates that its engineering capabilities have indeed improved. Conversely, if shortening the cycle mainly relies on reducing necessary tests, then such speed will hardly become a sustainable competitive advantage.
05. What Should the Automotive Industry Compete on After Strengthened Regulation?
The impact of this draft for comments from the four ministries should not be simply understood as all automakers needing to slow down their R&D speed. What is more worthy of attention is that the measurement of R&D efficiency may change accordingly. In the past, time-to-market, product configurations, and the number of new technologies were easily perceived directly by the market, whereas validation quality was difficult for consumers to judge when purchasing a car.
How many resources an enterprise invests to complete durability tests, environmental adaptability validation, and abnormal operating condition tests is also difficult to become an intuitive marketing selling point. This difference instead creates a competitive pressure: in order to seize market windows, enterprises continuously accelerate product iterations, but the time and resources required for validation work will not automatically decrease due to fierce market competition.
If necessary validation investments are regarded as costs that can be compressed in the competition, enterprises that seriously complete testing may instead bear higher short-term costs. This is not only an R&D management issue for individual enterprises but also a problem that industry competition rules need to address. Further clarification of relevant requirements by regulation helps make necessary validation work a mandatory responsibility for enterprises, rather than a step that can be arbitrarily selected or discarded based on project schedules.
For automakers, the changes brought by regulation will be reflected in three aspects.
First, the value of mature platforms, module reuse, and digital development will be further highlighted. Enterprises can reduce repetitive work and shorten development cycles by reusing already validated technologies, but new structures, software functions, and usage scenarios still need to complete validation matching their risks.
Second, R&D management needs to pay more attention to front-loading risks. Compared to rushing schedules in the later stages of a project, identifying structural defects, software anomalies, and environmental adaptability issues as early as possible is actually more conducive to controlling rectification costs and reducing the possibility of problems entering the mass production stage.
Finally, engineering validation capabilities may become a more important competitive threshold. Test facilities, experimental data, engineering personnel, and problem closed-loop capabilities all require continuous investment. Enterprises with mature validation systems have a better chance of controlling product risks while maintaining development efficiency.
Of course, relevant requirements may also increase R&D investments for some models and affect the launch pace of certain projects. The impact on different enterprises depends on their existing development processes, the degree of product innovation, and the maturity of their validation systems. It cannot be simply assumed that all automakers will slow down as a result, let alone infer that a specific enterprise's products have problems based on this.
However, in the long run, the automotive industry cannot rely solely on faster product releases, richer configurations, and shorter iteration cycles to prove its competitiveness. As the mechanical structures, electrical and electronic architectures, and software systems of vehicles become increasingly complex, enterprises also need to prove that they can consistently translate innovation into reliable products.
The public consultation launched by the four ministries this time is a signal of further strengthening automotive R&D and quality management. It will not slow down the innovation that the automotive industry should have; instead, it will prompt enterprises to bear clearer responsibilities for R&D validation while pursuing innovation and efficiency.