车-路-云融合的智能混合动力汽车节能驾驶技术研究进展与挑战

随着汽车的智能化与网联化，混合动力汽车的节能驾驶技术已由单纯的动力总成能量管理向涵盖车-路-云一体化的综合控制演化，基于车速规划的经济性驾驶与基于路径规划的经济性路由可显著提高汽车的节油率。介绍了现有混合动力汽车的典型节能驾驶技术，指出了节能驾驶技术的商业价值及其节油潜力；归纳总结了经济性驾驶的研究现状，引出了路径规划对于能耗的重要影响；从能耗模型构建、路径优化问题建立和求解算法三方面系统梳理了经济性路由的研究现状，指明了其研究思路；探究讨论了多车混合经济性路由问题，为物流配送车辆的经济性调度提供了优化思路；对混合动力汽车节能驾驶技术的发展趋势进行展望。

Eco-Driving Strategy for Intelligent Hybrid Electric Vehicles with Vehicle-Road-Cloud Fusion:Research Progress and Challenges

With the emerging vehicle automation and connectivity techniques, the energy management of hybrid electric vehicles (HEVs) has evolved from powertrain energy management to vehicle-road-cloud integrated control, for which the eco-driving and eco-routing strategies have shown significant energy-saving potentials. Initially the paper introduces the typical vehicle-road-cloud integrated control strategies and their commercial prospects and energy saving potentials. Then the state-of-the-art eco-driving and eco-routing strategies are reviewed and the influence of path planning on energy consumption is presented. In addition,the research status of eco-routing strategies is analyzed from three aspects: energy consumption modeling,the formulation of path optimization problems and solution methods. Furthermore, the eco-routing of multiple vehicles or the vehicle fleet is discussed considering logistics cost reduction. Finally the challenges and future trends of the vehicle-road-cloud integrated control are outlined.