华为鸿蒙智行又有新动作。 3月4日，华为在深圳举办鸿蒙智行技术焕新发布会。华为常务董事、产品投资评审委员会主任、终端BG董事长余承东在发布会上披露，截至3月3日，鸿蒙智行全系 累计交付量已达128万辆。其中，尊界S800上市9个月累计交付超1.5万辆，连续5个月稳居国内百万级豪车销量榜首。 在技术层面，鸿蒙智行重点发布了业界首创的新一代双光路图像级激光雷达技术。该技术通过广角与长焦一体成像，实现图像级细节呈现，分辨率提升，进一步强 化全场景出行安全守护能力。 与此同时，鸿蒙智行正式官宣了与上汽联合打造的全新车型——尚界Z7与尚界Z7T。余承东表示，尚界Z7定位风尚科技轿跑，是"鸿蒙智行最年轻的车"。 据悉，鸿蒙智行旗下问界M9旗舰版与尊界S800将成为首批首发搭载车型。 鸿蒙智行累计交付128万辆 此次发布会是鸿蒙智行2026年的首场大型技术活动，其背后是华为持续加码智能汽车赛道的研发投入。 余承东介绍，鸿蒙智行目前已形成AITO问界、LUXEED智界、STELATO享界、MAEXTRO尊界及SAIC尚界五大品牌矩阵，全面覆盖从主流到高端的智能电动汽车 市场。截至2026年3月3日，鸿蒙智行累计交付量达128 ...

Group 1 - BYD has launched a new automotive brand called Linghui, which includes four new models: three pure electric sedans (Linghui e5, e7, e9) and one plug-in hybrid MPV (Linghui M9) [2] - The Linghui brand aims to cater to the B2B market for bulk purchases, differentiating it from BYD's consumer-oriented models, and is part of BYD's strategy to enhance its high-end offerings [2] - The new models are based on existing BYD platforms, including adaptations of the Dynasty and Ocean series vehicles [2] Group 2 - The Beijing-Tianjin-Hebei region is leading the nation in new energy vehicle production, with a projected total output of 2.85 million vehicles in 2024, marking an 11.8% year-on-year increase [3] - New energy vehicle production in the region is expected to reach 676,000 units, a significant 154% increase year-on-year, establishing the region as a national leader in this sector [3] - The automotive industry in the region is projected to generate over 840 billion yuan in output value, demonstrating strong growth and significant demonstration effects [3] Group 3 - The average retail price of passenger cars has risen from 151,000 yuan in 2019 to 183,000 yuan in 2023, with a slight expected decrease to 182,000 yuan in 2025 [4] - The average price of new energy vehicles is projected to decline from 184,000 yuan in 2023 to 161,000 yuan in 2025, indicating a structural change in consumer preferences [4] - The upcoming expiration of tax exemptions for new energy vehicles is expected to create pressure for modifications in certain short-range and high-energy consumption models [4]