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中国汽研:公司控股子公司已获批筹建重庆市无人机系统产品质量检验检测中心
Zheng Quan Ri Bao Wang· 2026-02-09 12:15
Core Viewpoint - The company has received approval to establish a quality inspection and testing center for drone systems in Chongqing, indicating a strategic move to enhance its capabilities in the growing drone industry [1] Group 1 - The company’s subsidiary, China Automotive Research (Chongqing) Robot Testing Technology Co., Ltd., has been approved to set up the inspection center [1] - The company will continue to monitor relevant policy directions and industry trends [1] - Specific matters will be disclosed through the company's official information releases [1]
汽车行业周报(2026 1 30-2026 2 6):全新理想 L9 Livis 引领线控底盘新阶段
GUOTAI HAITONG SECURITIES· 2026-02-08 13:25
Investment Rating - The report maintains an "Overweight" rating for the automotive industry [4][16]. Core Insights - The new Li Auto L9 Livis is leading a new phase in steer-by-wire chassis technology, which is expected to drive upgrades in related component manufacturers [2][15]. - The report highlights a significant growth in demand for AIDC power generation equipment and recommends Weichai Power for its diversified layout in diesel, gas generator sets, and SOFC [16]. - The report notes that liquid cooling is a promising area for automotive components, recommending Silver Wheel Holdings for its comprehensive efforts in digital power [16]. - The export of passenger vehicles to Europe is anticipated to grow rapidly under carbon reduction policies, with recommendations for XPeng Motors and SAIC Motor [16]. - The intelligent driving supply chain is expected to benefit from advancements in L3 testing, with recommendations for Nexperia and China Automotive Research [16]. - The humanoid robot sector is highlighted, recommending Delta Electronics and Ningbo Huaxiang based on long-term strategic capabilities [16]. Industry Performance Overview - In the week of January 30 to February 6, 2026, the automotive index remained flat, while the new energy vehicle index increased by 2% [2][7]. - Over the past month, the automotive index decreased by 1%, and the new energy vehicle index fell by 2% [8][9]. - The report indicates that the automotive sector has shown mixed performance, with some stocks like Kailong High-Tech and Weichai Power seeing significant gains, while others like Tianpu and Suoling experienced declines [10][12]. Sales Data - For the period of January 1-18, 2026, retail sales of passenger vehicles in China totaled 679,000 units, a year-on-year decrease of 28% [14]. - The new energy vehicle market saw retail sales of 312,000 units during the same period, reflecting a 16% year-on-year decline [14]. Recommendations for Key Companies - The report recommends several companies based on their market positions and growth potential: - Weichai Power [18] - Silver Wheel Holdings [18] - XPeng Motors [18] - SAIC Motor [18] - Nexperia [18] - Delta Electronics [18] - Ningbo Huaxiang [18]
汽车行业周报(2026/1/30-2026/2/6):全新理想 L9 Livis 引领线控底盘新阶段-20260208
GUOTAI HAITONG SECURITIES· 2026-02-08 11:05
| [姓名table_Authors] | 电话 | 邮箱 | 登记编号 | | --- | --- | --- | --- | | 刘一鸣(分析师) | 021-23154145 | liuyiming@gtht.com | S0880525040050 | | 张予名(研究助理) | 021-23154145 | zhangyuming@gtht.com | S0880125042241 | 本报告导读: 近一周,申万汽车指数相对持平,新能源整车指数上涨 2%,汽车零部件指数相对持 平,商用车指数相对持平。全新理想 L9 Livis 引领线控底盘新阶段。 投资要点: [Table_Invest] 评级: 增持 [Table_Report] 相关报告 股票研究 /[Table_Date] 2026.02.08 全新理想 L9 Livis 引领线控底盘新阶段 [Table_Industry] 汽车 汽车行业周报(2026/1/30-2026/2/6) 汽车《AI 应用重要阵地,Robotaxi 还看中国》 2026.02.04 汽车《特斯拉加速 AI 转型,将发布第三代人形 机器人 Optimus》2026. ...
中国汽研:华东总部基地重点推进实验设备的安装与联调工作
Zheng Quan Ri Bao· 2026-02-06 13:11
证券日报网讯 2月6日,中国汽研在互动平台回答投资者提问时表示,公司投资建设的华东总部基地 2025年6月开园,目前重点推进实验设备的安装与联调工作,预计设备调试与资质核验完成后,产能将 逐步释放,进而助力长三角区域汽车产业实现高质量发展,成为华东地区智能网联新能源汽车产业发展 与共性技术推广的公共服务平台。 (文章来源:证券日报) ...
中国汽研:持续加大科研投入,强化客户合作与市场开拓
Zheng Quan Ri Bao Wang· 2026-02-06 12:45
Core Viewpoint - The automotive industry in China is steadily advancing towards an era characterized by electrification, intelligence, low carbon emissions, and internationalization, with a continuous increase in the number of new products as indicated by the Ministry of Industry and Information Technology's announcements [1] Group 1: Industry Trends - The demand for technology services in the automotive sector is consistently growing, driven by the industry's transition towards new technological paradigms [1] - The number of new products in the automotive sector is on the rise, reflecting a positive trend in the industry [1] Group 2: Company Strategy - The company plans to focus on three main technological lines: safety, green technology, and user experience, while increasing research and development investments [1] - The company aims to strengthen customer collaboration and market expansion, concentrating on its core business and emerging sectors [1] - The company is committed to enhancing business synergy across various segments to improve its technological innovation and operational capabilities, thereby elevating its market position [1]
中国汽研:公司新增折旧摊销情况请以公司后续公告披露信息为准
Zheng Quan Ri Bao· 2026-02-06 12:15
证券日报网讯 2月6日,中国汽研在互动平台回答投资者提问时表示,公司新增折旧摊销情况请以公司 后续公告披露信息为准。 (文章来源:证券日报) ...
中国汽研申请评估动力电池健康状态专利,实现对动力电池SOH进行全面、精准和可诊断的综合评估
Jin Rong Jie· 2026-02-05 00:50
国家知识产权局信息显示,中国汽车工程研究院股份有限公司;北京链宇科技有限责任公司申请一项名 为"评估动力电池健康状态的方法、装置和存储介质"的专利,公开号CN121454333A,申请日期为2025 年10月。 专利摘要显示,本申请涉及电数字数据处理领域,提供了评估动力电池健康状态的方法、装置和存储介 质。所述方法包括:执行全容量循环测试,基于动力电池的实际容量计算容量型健康状态SOH_C;执 行增量容量分析测试,基于增量容量曲线计算增量容量分析健康状态SOH_ICA;执行混合脉冲功率特 性测试,以基于直流内阻计算功率型健康状态SOH_P;在全容量循环测试、增量容量分析测试和混合 脉冲功率特性测试中的至少一个测试过程中,通过电池管理系统BMS通信单元实时记录动力电池的 BMS数据,并对BMS数据进行分析以获取一致性参数;基于SOH_C、SOH_ICA、SOH_P和一致性参 数,进行数据融合与综合健康状态评估,输出综合SOH评估结果。本申请的对动力电池SOH进行全面、 精准和可诊断的综合评估。 天眼查资料显示,中国汽车工程研究院股份有限公司,成立于2001年,位于重庆市,是一家以从事专业 技术服务业为主的企业。 ...
量化大势研判202602:市场△gf继续保持扩张
Guolian Minsheng Securities· 2026-02-04 05:29
- The report introduces a quantitative model framework for market trend analysis, focusing on five asset style stages: external growth, quality growth, quality dividend, value dividend, and bankruptcy value. The model evaluates assets based on their intrinsic attributes and prioritizes them using the sequence of g > ROE > D, analyzing whether there are "good assets" and whether they are "expensive" [5][8][9] - The model incorporates key factors such as expected growth (gf), actual growth (g), profitability (ROE), high dividend (D), and bankruptcy value (B/P). Each factor is associated with specific market phases, e.g., expected growth is relevant across all phases, while profitability is emphasized during maturity phases [9][12] - The quantitative model has demonstrated strong historical performance, achieving an annualized return of 27.67% since 2009. It has shown consistent excess returns in most years, particularly post-2017, with limited effectiveness in years like 2011, 2012, and 2016 [19][22] - The model's backtesting results for specific years include notable excess returns, such as 51% in 2009, 36% in 2013, and 62% in 2022. However, it also recorded underperformance in years like 2011 (-11%) and 2014 (-4%) [22] - The report details six specific strategies derived from the model, each focusing on different factors: - **Expected Growth Strategy**: Selects industries with the highest analyst-forecasted growth rates. Recent recommendations include sectors like automotive sales, lithium equipment, and tungsten [38][39] - **Actual Growth Strategy**: Focuses on industries with the highest unexpected growth (△g). Current recommendations include photovoltaic equipment, insurance, and coal chemical sectors [40][41] - **Profitability Strategy**: Targets high-ROE industries with low valuations under the PB-ROE framework. Recommended sectors include copper, liquor, and non-dairy beverages [43][44] - **Quality Dividend Strategy**: Utilizes a DP+ROE scoring system to identify industries. Current recommendations include forestry, lithium equipment, and fiberglass [46][47] - **Value Dividend Strategy**: Employs a DP+BP scoring system. Recommended sectors include security, daily chemicals, and buses [49][50] - **Bankruptcy Value Strategy**: Focuses on industries with the lowest PB+SIZE scores. Current recommendations include automotive sales, ceramics, and cotton textiles [53][54]
中国汽研(601965):卡位稀缺,受益于中国汽车标准做大做强
GF SECURITIES· 2026-02-03 11:52
[Table_Page] 公司深度研究|汽车服务 [Table_Title] 中国汽研(601965.SH) 卡位稀缺,受益于中国汽车标准做大做强 [Table_Summary] 核心观点: 盈利预测: | [Table_ 单位 Finance] :人民币百万元 | 2023A | 2024A | 2025E | 2026E | 2027E | | --- | --- | --- | --- | --- | --- | | 营业收入 | 4,007 | 4,697 | 4,967 | 5,866 | 7,171 | | 增长率( % ) | 21.8% | 17.2% | 5.8% | 18.1% | 22.3% | | EBITDA | 1,306 | 1,678 | 1,956 | 2,278 | 2,673 | | 归母净利润 | 825 | 908 | 1,060 | 1,216 | 1,466 | | 增长率( % ) | 19.7% | 10.0% | 16.8% | 14.7% | 20.6% | | EPS(元/股) | 0.82 | 0.90 | 1.06 | 1.21 | 1.46 | | ...
研判2026!中国汽车电子智能检测装备行业进入壁垒、市场政策汇总、产业链图谱、市场规模、竞争格局及发展趋势分析:国际巨头主导高端市场[图]
Chan Ye Xin Xi Wang· 2026-02-03 01:35
Core Insights - The safety and reliability requirements for core components of new energy vehicles (NEVs) are significantly higher than those of traditional fuel vehicles, driving demand for battery management system testing equipment and motor controller efficiency testing platforms as NEV penetration continues to rise [1][6] - The market for automotive electronic intelligent testing equipment in China is projected to reach 11.75 billion yuan by 2025, with a year-on-year growth of 13.3%, as NEVs evolve towards higher endurance, intelligence, and safety [1][6] Overview - Automotive electronic intelligent testing equipment integrates technologies such as electronic measurement, computer vision, artificial intelligence, IoT, and automation to test the performance, functionality, fault diagnosis, and quality of automotive electronic components and systems [2][3] - This equipment can automate high-precision testing processes, simulating full operational environments to identify performance defects and compatibility issues, making it essential for ensuring the reliability of automotive electronic products [2][3] Industry Barriers - The automotive electronic intelligent testing equipment industry has significant technical barriers due to its multidisciplinary nature, requiring companies to possess extensive knowledge across various fields and the ability to engineer complex technologies [3][4] - There are strict customer entry barriers, as downstream manufacturers demand high product quality and supply chain stability, leading to long-term partnerships once a supplier is integrated into the supply chain [4] Industry Chain - The upstream of the automotive electronic intelligent testing equipment industry includes suppliers of precision mechanical components, chips, sensors, and software services, while the midstream involves R&D and production, and the downstream consists of automotive manufacturers and third-party testing institutions [4][5] Current Development - The demand for intelligent testing equipment is increasing due to the rising safety and reliability requirements of NEV components, with high-end testing equipment becoming essential for R&D and mass production [1][6] Competitive Landscape - The market is structured in three tiers: international giants dominate the high-end market, domestic leaders are emerging as challengers, and regional manufacturers fill niche segments [7][8] - Leading companies include international firms like Keysight Technologies and domestic firms such as Beijing Oriental Zhongke and Hangzhou Wolai Intelligent Technology, which leverage cost advantages and rapid service response to capture market share [8] Development Trends - The industry is moving towards system-level and intelligent integration, with testing needs evolving from single-component tests to integrated system-level tests [10] - Domestic manufacturers are accelerating their penetration into high-end markets, driven by policy support and collaboration within the domestic supply chain [11] - Service models are evolving from single testing to comprehensive lifecycle solutions, enhancing product performance through customized testing and data analysis [12]