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新能源汽车关灯惊魂:“瞎执行”比“听不懂”更致命
Xin Jing Bao· 2026-02-27 07:10
Core Viewpoint - The incident involving a Lynk & Co vehicle highlights significant vulnerabilities in the voice command systems of some electric vehicles, emphasizing the need for improved safety measures and hardware controls to prevent accidents caused by misinterpretation of commands [2][3][4]. Group 1: Incident Overview - A driver experienced a dangerous situation when the voice command to "turn off the interior reading light" resulted in all vehicle lights being turned off, including the headlights, leading to a crash on a dark highway [2]. - The vehicle's voice recognition system failed to respond appropriately to the driver's repeated requests to turn the lights back on, indicating a critical flaw in the system [2][3]. Group 2: System Vulnerabilities - The incident reveals that current intelligent driving systems in some electric vehicles may overlook essential safety details, such as the need for more stringent controls on voice command functions [3]. - There is a pressing need for manufacturers to enhance the accuracy of voice recognition and to implement additional safeguards for potentially hazardous features like "one-button off" controls [3][4]. Group 3: Recommendations for Improvement - It is crucial for manufacturers to maintain physical controls for essential functions, ensuring they are easily accessible and not overly complex, allowing drivers to quickly correct errors in emergency situations [4]. - The Ministry of Industry and Information Technology is revising national standards to mandate the inclusion of physical controls for vehicle lighting, which is a necessary step towards enhancing vehicle safety [5]. Group 4: Industry Implications - The incident serves as a wake-up call for automotive companies to reassess their intelligent driving features and address potential vulnerabilities, ensuring that advanced technology does not compromise basic safety logic [5]. - Companies should prioritize investments in safety-enhancing features over unreliable intelligent driving functionalities, particularly in cost-effective vehicles [5].