摘 要
本文聚焦于车辆能耗优化控制策略的研究，旨在通过人工智能技术的应用，提升车辆行驶效率并降低能耗。首先，综述了人工智能技术在车辆控制中的最新进展，以及车辆能耗分析与优化控制的基本理论。在此基础上，深入探讨了优化算法与模型建立的关键技术，为策略设计提供了坚实的理论基础。随后，详细阐述了车辆能耗优化控制策略的设计原则和流程，包括车辆动力学模型的建立和优化控制算法的设计与实现。为了验证策略的有效性，本文还进行了实验测试，详细记录了实验条件和过程，并对实验结果进行了深入分析。实验结果表明，所设计的控制策略能够显著提高车辆行驶效率，有效降低能耗。最后，总结了研究成果，并对未来研究方向进行了展望，期望为车辆节能减排和环保事业做出更大贡献。
关键词：深度学习；自然语言处理；神经网络
Abstract
This paper focuses on the research of the optimal control strategy of vehicle energy consumption, aiming to improve the vehicle driving efficiency and reduce the energy consumption through the application of artificial intelligence technology. Firstly, the latest progress of artificial intelligence technology in vehicle control, and the basic theories of vehicle energy consumption analysis and optimization control are reviewed. On this basis, the key technologies of optimization algorithm and model building are deeply discussed, which provides a solid theoretical basis for strategy design. Subsequently, the design principles and processes of vehicle energy consumption optimization control strategy are elaborated, including the establishment of vehicle dynamics model and the design and implementation of optimization control algorithm. In order to verify the effectiveness of the strategy, we also conducted experimental tests, document the experimental conditions and procedures, and analyzed the experimental results in depth. The experimental results show that the designed control strategy can significantly improve the vehicle efficiency and reduce energy consumption. Finally, the research results are summarized, and the future research direction is discussed, hoping to make greater contribution to vehicle energy conservation and emission reduction and environmental protection.
Keywords: deep learning; Natural language processing; Neural network
目 录
1 引言 1
2 相关技术和理论 1
2.1 人工智能技术与应用 1
2.2 车辆能耗分析与优化控制 1
2.3 优化算法与模型建立 2
3 车辆能耗优化控制策略设计 2
3.1 策略设计原则和流程 2
3.2 车辆动力学模型建立 2
3.3 优化控制算法设计与实现 3
4 实验与分析 3
4.1 实验测试条件和过程 3
4.2 实验结果及分析 4
4.3 实验结论与展望 4
5 结论 4
致 谢 6
参考文献 7
