Stochastic co-optimization of speed planning and powertrain control with dynamic probabilistic constraints for safe and ecological driving

Sun, Chao; Zhang, Chuntao; Sun, Fuchun; Zhou, Xingyu

doi:10.1016/j.apenergy.2022.119874

Cited by 16 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, detailed discussions on vehicle control algorithms and related content are deemed unsuitable. However, for a clearer exposition of the algorithms utilized, additional references can be consulted for further elucidation [27].…”

Section: Case Study and Discussionmentioning

confidence: 99%

Design of a Modularization-Based Automation Performance Simulation Framework for Multi-Vehicle Interaction System

Qian,

Xiang,

Zeng

et al. 2024

WEVJ

View full text Add to dashboard Cite

With the electrification and connectivity of vehicles in transportation, traditional vehicles with single drivetrains are being replaced by pure electric or hybrid electric vehicles (HEVs). This evolution has given rise to diverse electromechanical coupling drivetrains. There is a pressing need to update simulation software to assess the economic performance of vehicles in various environments, and promote sustainable development and energy conservation. This paper presents a unified framework for the construction and automated operation of large-scale automated vehicle simulations with multiple drivetrain types, facilitating synchronous information exchange among vehicles. Central to the framework is the development of a plug-and-play vehicle model based on a modular component design, facilitating the rapid assembly of vehicles with varied drivetrain configurations and standardizing simulation file management. Additionally, a standardized simulation process construction is established to accommodate the automated operation of simulations. Furthermore, a data scheduling method among vehicles is introduced to achieve multi-vehicle interconnection simulation. Finally, the effectiveness of the framework is demonstrated through a case study involving queue-following control for HEVs. This framework aims to provide a comprehensive solution for quickly establishing automated simulation environments for multi-vehicle interaction, enhancing model reusability and scalability.

show abstract

Section: Case Study and Discussionmentioning

confidence: 99%

Design of a Modularization-Based Automation Performance Simulation Framework for Multi-Vehicle Interaction System

Qian,

Xiang,

Zeng

et al. 2024

WEVJ

View full text Add to dashboard Cite

show abstract

“…Simulation results showed reasonable over-consumption compared to deterministic optimization and manageable computational times for both offline and online parts. Another recent work by [84] proposed an adaptive co-optimization method of speed planning and EMS with dynamic probabilistic constraints. The proposed composite sequence generation model enabled dynamic probabilistic constraints by forecasting the upcoming speed distribution of the preceding vehicle.…”

mentioning

confidence: 99%

Co-Optimization of Eco-Driving and Energy Management for Connected HEV/PHEVs near Signalized Intersections: A Review

2023

View full text Add to dashboard Cite

Currently, road transport constitutes a considerable proportion of global fossil fuel consumption, as well as CO2 and pollutant emissions. To mitigate transportation energy consumption, two primary approaches have emerged: the large-scale adoption of Hybrid Electric Vehicles (HEVs) and Plug-In Electric Vehicles (PHEVs), as well as the implementation of eco-driving strategies, which present an immediate and low-cost solution. In this context, this paper provides a comprehensive review of these two technologies and their integration for connected HEV/PHEVs. We summarize the framework of recent approaches to incorporate fusion road information in single-vehicle and multi-vehicle scenarios, respectively, wherein we compare their advantages, their disadvantages, and their effectiveness in reducing energy consumption. Additionally, we reflect on the future development directions of cooperative optimization in EMS and eco-driving strategies from various perspectives. This comprehensive review underscores the importance and potential impact of these approaches in addressing environmental challenges in transportation systems, thereby offering useful insights for new researchers and practitioners in this area.

show abstract

Commuting-pattern-oriented stochastic optimization of electric powertrains for revealing contributions of topology modifications to the powertrain energy efficiency

Zhou

Sun

et al. 2023

Applied Energy

View full text Add to dashboard Cite

Stochastic co-optimization of speed planning and powertrain control with dynamic probabilistic constraints for safe and ecological driving

Cited by 16 publications

References 30 publications

Design of a Modularization-Based Automation Performance Simulation Framework for Multi-Vehicle Interaction System

Design of a Modularization-Based Automation Performance Simulation Framework for Multi-Vehicle Interaction System

Co-Optimization of Eco-Driving and Energy Management for Connected HEV/PHEVs near Signalized Intersections: A Review

Commuting-pattern-oriented stochastic optimization of electric powertrains for revealing contributions of topology modifications to the powertrain energy efficiency

Contact Info

Product

Resources

About