"2026年，预计中重卡需求125万辆，同比持平；轻卡70万辆，同比增长8%！" 在12月15日举办的一汽解放2026全球合作伙伴大会上， 一汽解放总经理、党委副书记 于 长信对2025年中重卡市场进行了回顾与总结，并对2026年市场需求进行了专业的预测。那 么，2025年，一汽解放取得怎样的战绩；展望2026年，一汽解放认为中重卡市场存在哪些 重要机会呢？下面请看第一商用车网的报道。 据于长信总结，2025年，中重卡行业有"4个意料之中"、"4个意料之外"和所面临的"5个 转型期"。 2025中重卡预计销125万辆增20% 新能源暴涨155% 海外抢眼 其中，"4个意料之中"体现在：一是行业内卷竞争加剧，需求低端化，行业价格降幅 5%~8%；二是海外市场拓展布局加速，各中重卡品牌出海构建新的增长级；三是存量竞争 置换提速，2025年更新车辆62.8万辆，较2024年提升51%；四是运价低迷，客户生存困 难、从业获得感持续下降。 "4个意料之外"体现在：一是中重卡需求规模，2025年预计达125万辆，同比增长约 20%，更新需求激增；二是新能源需求增幅，2025年预计突破22万辆，同比暴涨155%， 渗透率达 ...

关注 「电动车公社」 和我们一起重新思考汽车 以下是上周新能源圈的新闻： 新车上 市： 岚图追光L上市，售价27.99-30.99万元； 公司动态： 长安汽车第3000万辆新车下线； 东风日产N7第50000台新车下线； 雷诺与福特合作造电动车； 文远知行联合Uber在迪拜推出Robotaxi公开运营服务； 国内新闻： 特斯拉上海工厂第400万辆新车下线； 地平线宣布城区辅助驾驶将普惠10万元车型； 深蓝汽车累计交付超70万辆； 小米三款新车规划曝光； 鸿蒙智行首款MPV公布； 五菱首款硬派SUV公布； 《汽车行业价格行为合规指南 （征求意见稿） 》发布，多家车企宣布支持； 新车上市 1、 岚图追光L上市 售价27.99-30.99万元 12月10日，岚图追光L上市。新车共推出2款车型，售价27.99-30.99万元。 外观方面，新车基于岚图最新设计语言打造，灵感源于"鲲鹏展翼"，采用两侧分体式大灯以及发光车标，车身侧面 线条流畅，尾灯则融合了岚图车标。尺寸方面，新车长宽高分别为5125/1985/1522（1505），轴距3010mm，定 位中大型车。 内饰方面，新车采用环抱式座舱设计，搭配大量皮质材质以及 ...

Core Viewpoint - Xiaopeng Motors is set to release its VLA 2.0 (Vision-Language-Action) model in the next quarter, with significant pressure on its development as it is the first version [1] Group 1: VLA Model Development - Xiaopeng's chairman, He Xiaopeng, has made a special bet with the autonomous driving team, promising to establish a Chinese-style cafeteria in Silicon Valley if the VLA system matches Tesla's FSD V14.2 performance by August 30, 2026 [3] - The VLA model is seen as an advanced end-to-end solution, integrating visual perception, action execution, and language processing to enhance decision-making capabilities [7][12] - The VLA model aims to overcome traditional model limitations by incorporating a reasoning chain through language models, enhancing its adaptability to complex driving environments [7][12] Group 2: Industry Perspectives - There is a divergence in the industry regarding the development paths of VLA and world models, with companies like Li Auto and Xiaopeng favoring the VLA approach [6][12] - Li Auto's VP, Lang Xianpeng, emphasizes the importance of real-world data in developing effective autonomous driving systems, arguing that the VLA model is superior due to its data-driven approach [8][9] - Huawei and other companies are pursuing a world model approach, which focuses on direct control through visual inputs without the intermediary language processing [9][10][11] Group 3: Future Integration and Trends - Despite differing opinions, VLA and world models are not mutually exclusive and may increasingly integrate as both technologies evolve [12][17] - The future of autonomous driving technology is expected to see further iterations and stabilization by 2028, with a potential convergence of VLA and world model methodologies [17]

人民财讯12月12日电，12月12日，黑芝麻（000716）智能与元戎启行签署合作协议。双方在此次合作中 将建立资本与业务的双重纽带，叠加各自在芯片技术与辅助驾驶模型与算法领域的核心优势，基于黑芝 麻智能下一代车规级高性能计算芯片平台，联合打造高性能、高性价比的高阶辅助驾驶解决方案，共同 拓展行业应用场景，推进技术规模化落地。同时，双方将协同主机厂及产业链上下游资源，重点推进 L2+/L3级辅助驾驶方案在头部车企的量产应用，同时探索该方案在Robotaxi等新兴领域的落地场景。 ...

12月9日，雷军转发第三方直播实测：小米安全辅助功能，结果成功通过高速、城区、夜间三大场景的全部11项测试。并再次提醒大家辅助驾驶不是自动 驾驶，驾驶仍需保持专注！ 第二款：YU7 GT，去纽北赛道刷脸的狠角色 如果说SU7证明了小米能造一台好看的电动轿跑，那在德国纽博格林北环赛道上频繁曝光的YU7 GT，就是想证明小米能造一台让全球车迷讨论的性能猛 兽。 这款基于YU7打造的高性能SUV，虽然外观看起来不像概念车那么夸张，但核心肯定是冲着极致性能去的。它不断在"绿色地狱"纽北刷圈，就是为了打磨 底盘和极限性能，未来很可能成为小米在欧洲市场投放的首款车型，直接叫板特斯拉Model Y高性能版之类的对手。这辆车的意义，不只是卖多少台，更 是要把"性能"和"技术"这两个标签，牢牢钉在小汽车的品牌里。 第三款：SU7 L，加长的是车身，更是野心 针对日常高频风险，80km/h时速下的二轮车斜穿场景，其紧急制动辅助系统精准响应，稳稳规避碰撞。城区低速场景中，小米YU7同样表现扎实，误加速 抑制（MAI）功能顺利通过验证，有效降低驾驶员操作失误引发的安全隐患。测试更跨越白昼与深夜、晴路与雨天，在雨天80时速盲测等复杂环 ...

Core Viewpoint - The article discusses the current state of the Chinese automotive industry, highlighting the excessive marketing tactics and the resulting internal competition that has led to a focus on extreme testing and promotional stunts rather than genuine product quality and safety [11][32][66]. Group 1: Marketing and Public Perception - A recent incident involving a car company's extreme marketing stunt at a scenic site resulted in negative public backlash, raising questions about the use of public resources and the approval processes of such events [6][8][11]. - The automotive industry has become increasingly obsessed with marketing gimmicks, leading to a disconnect between genuine product testing and promotional activities [11][12][13]. - The trend of extreme challenges in marketing, such as vehicles performing stunts that may not accurately reflect their safety or performance, has become a common practice among car manufacturers [25][28][31]. Group 2: Testing Practices - Automotive testing can be categorized into two types: rigorous technical testing with standardized procedures and marketing-driven tests that prioritize visual impact over technical accuracy [15][16]. - Many marketing tests, while visually impressive, do not adequately assess the vehicle's safety or performance under real-world conditions, leading to potential safety risks [24][55]. - The industry is witnessing a shift where safety has become a competitive aspect, with companies feeling pressured to demonstrate their vehicles' safety through increasingly elaborate and sometimes superficial testing methods [48][50][51]. Group 3: Industry Competition and Financial Health - The automotive sector is experiencing deep internal competition, characterized by aggressive marketing strategies and price wars that have led to a decline in profit margins [39][42]. - Data indicates that the profit margin for the Chinese automotive industry was only 4.5% in the first nine months of 2025, significantly lower than the national average for large-scale industrial enterprises [42]. - R&D investments among major automotive companies have surged, with a collective expenditure exceeding 92 billion yuan in the first half of 2025, reflecting a "arms race" mentality in the industry [44][46]. Group 4: Future Outlook - The article suggests that as the industry continues to evolve, the focus on safety and technology will become even more critical, especially with the rise of advanced driver-assistance systems [58][66]. - The competitive landscape will likely intensify, with companies needing to balance marketing efforts with genuine technological advancements to maintain consumer trust and market position [66].

长城将在全新蓝山智能进阶版上搭载 VLA 辅助驾驶方案。 文 丨 沈行 辅助驾驶正处在技术的交界点，"规则" 方案的上限已经触顶，去年以特斯拉为首的 "端到端" 路线开 始快速普及，即传感器原始信息直接输入模型、模型直接输出车辆动作。端到端的意义在于，它让辅 助驾驶研发进入了 AI 时代：能力不依赖人工编程，而是随着数据规模的扩大持续进化。 但随着应用场景变得更复杂，行业开始意识到仅靠模仿难以覆盖真实世界的多样性——端到端无法处 理未曾 "见过" 的极端场景，为了突破这个瓶颈，辅助驾驶从端到端继续演进，向能够理解语义、推理 场景、解释决策的 VLA（Vision-Language-Action）过渡，能力的重心从 "会开" 转向 "会想、会判 断"。 对于辅助驾驶发展趋势的探索，长城是行业内反应更快、判断更明确的那一个。长城是最早完成 VLA 量产落地的车企之一，并率先在即将发布的全新车型——魏牌全新蓝山智能进阶版上搭载。 今年前三季度，长城汽车累计投入研发费用约 66.36 亿元，同比增长 6.9%。智能化是重要的研发方向 之一，长城汽车 CTO 吴会肖曾表示，智能化相关研发费用目前约占长城总研发费用的一半 ...

Core Insights - Dr. Chen Long, the Chief Scientist of Xiaomi Auto, has been recognized in the 2025 TR35 list for his groundbreaking work in the field of assisted driving, specifically for introducing the Visual-Language-Action (VLA) model [1][3] - Xiaomi's founder and CEO Lei Jun publicly congratulated Dr. Chen on this achievement, highlighting the significance of his contributions to the industry [1] Group 1 - The TR35 award, initiated in 1999, aims to honor young tech talents who drive future transformations through original technologies, with past honorees including notable figures like Larry Page and Mark Zuckerberg [3] - The evaluation committee noted that Dr. Chen's research provides a new paradigm for next-generation assisted driving systems, evolving them from mere command execution to reliable intelligent agents capable of communication and common-sense reasoning [3] Group 2 - Dr. Chen has a background in autonomous driving research in the UK, focusing on making machine behavior more human-like [3] - He joined Xiaomi in 2025, attracted by the company's "human-vehicle-home ecosystem" strategy and the integration of AI with the physical world [3] - The XLA model, led by Dr. Chen, integrates multi-modal perception, natural language understanding, and behavioral decision-making, enabling assisted driving systems to not only drive but also communicate and think [3] Group 3 - An example of the XLA model's capabilities includes the system explaining its actions, such as "slowing down due to predicting a pedestrian might cross the road" [3] - The XLA model has been implemented in the Xiaomi YU7 vehicle, which features an end-to-end assisted driving system trained on 10 million Clips data, utilizing industry-leading hardware and software configurations [3] - As of mid-2025, Xiaomi Auto has assembled a research and development team of over 1,800 people, tested more than 400 vehicles, and invested 5.79 billion yuan in initial R&D efforts, continuously optimizing algorithms through the Xiaomi AI Lab's Xiaomi MiMo foundational model [3]

Core Viewpoint - The automotive industry is shifting back to a development trajectory based on safety and quality, moving away from chaotic marketing practices, particularly in the autonomous driving sector [2][11]. Industry Trends - The introduction of new battery standards and regulations on autonomous driving indicates a regulatory push to ensure safety in the electric vehicle sector [2]. - The phrase "when the tide goes out, you see who is swimming naked" applies to the autonomous driving technology industry, highlighting the need for genuine technological capabilities [3]. Technological Developments - The industry is facing malicious attacks and misleading evaluations that disrupt healthy development, prompting national measures against "internet water armies" and black public relations [4]. - A joint live test by Pacific Automotive and Tongji University showcased the superior performance of vehicles equipped with Huawei's QianKun intelligent driving system, achieving full marks in all nine testing scenarios [5]. - Huawei's QianKun intelligent driving system has demonstrated significant advancements, including a 50% reduction in system latency and improved decision-making speed [6]. Safety and Standards - Safety is emphasized as a core principle, with Huawei's QianKun integrating a multi-sensor approach to enhance safety in various driving conditions [11]. - The CAS 4.0 system provides comprehensive collision avoidance capabilities, significantly enhancing safety features in vehicles [12][14]. Market Position - As of October 2025, Huawei's QianKun has partnered with 15 leading automotive companies, producing 35 models and capturing a 27.8% market share in the autonomous driving sector [9]. - In the luxury vehicle market, Huawei's market share reached 52.75%, indicating strong consumer preference for its technology [9]. Data and Ecosystem - Huawei's QianKun intelligent driving platform benefits from a "snowball effect" driven by data collection from vehicles, enhancing algorithm optimization and user experience [15][16]. - The platform's cloud computing power reached 45 EFLOPS, enabling efficient processing of vast amounts of driving data [16][17]. - By October 2025, the cumulative driving distance for Huawei's QianKun intelligent driving system reached 58.1 billion kilometers, establishing it as a leader in the industry [18]. Competitive Advantage - The combination of data and scale creates a robust competitive moat for Huawei, making it increasingly difficult for smaller competitors to keep pace [20]. - The focus on safety and quality, alongside significant investments in technology and infrastructure, positions Huawei as a leader in the autonomous driving market [20].

Core Insights - Li Auto plans to enhance its AD Max model with innovative VLA charging and defensive AES automatic emergency steering features, while also introducing urban NOA functionality to the upgraded AD Pro model [1][2] Group 1: VLA Charging and AES Features - The VLA charging feature allows vehicles to autonomously navigate to Li Auto's supercharging stations, automatically find available charging spots, and complete parking and payment processes without user intervention [2] - The VLA charging function is set to cover over 1,400 Li Auto supercharging stations by January 2026, with plans to expand to over 2,400 stations by February and over 2,900 by March [2] - The AES automatic emergency steering feature will be fully rolled out to AD Max users, evolving from active collision avoidance to passive collision defense, helping users avoid various dangerous scenarios [2] Group 2: User Experience and Market Position - The VLA driver model has achieved over 312 million kilometers in driving distance, with a 2.2 times increase in mileage penetration and a threefold increase in daily active usage [1][2] - The focus on enhancing user experience in parking and safety reflects a trend among leading new energy vehicle manufacturers to refine their autonomous driving capabilities [3]