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Energy Management, Efficiency, and Delivery

  • Sidi Lu,
  • Weisong Shi

摘要

This chapter delves into energy management and delivery in the vehicle computing era, specifically focusing on the sophisticated domain of electric vehicles (EVs). It discusses the criticality of real-time monitoring and predictive analysis for key parameters like voltage, temperature, and state of charge (SOC) that ensure the health and efficacy of EV batteries. This chapter also discusses advanced modeling techniques for fuel consumption in heavy-duty trucks, which are essential for optimizing energy usage and reducing environmental impact. Additionally, it highlights the innovative Vehicle-to-Grid (V2G) technologies that promise to revolutionize energy distribution by allowing EVs to interact and contribute to the power grid. The chapter further investigates the strategies for improving V2G integration and the associated challenges, setting the scene for future research. It offers a cohesive understanding of the current state and future directions in vehicle computing, balancing technical depth with practical insights for sustainable energy management in the automotive industry.