Co-optimization on ecological adaptive cruise control and energy management of automated hybrid electric vehicles

Electrified drive systems and eco-driving technologies play a crucial role in promoting energy conservation. Eco-driving for hybrid electric vehicles(HEVs) is an intricate problem involving intertwined speed planning and energy management . In this context, an ecological adaptive cruise control (eco-ACC) and powertrain energy management strategy considering Signal Phase Timing Message (SPaT) can enhance both performance and real-time implementation. Specifically, this study develops a novel co-optimization method based on Pontryagin's minimum principle (PMP) that combines car-following control rules with the SPaT for a parallel HEV. The methodology involves the following steps: firstly, the parallel HEV model is established; secondly, the safe following distance model is constructed and the car-following control rules are devised to ensure safe driving. Subsequently, the co-optimization method based on PMP is then presented to simultaneously optimize the eco-driving problem of an ego-vehicle by converting the inter-vehicle distance constraint of the lead-vehicle into the limitation of the speed of the ego-vehicle. Finally, simulations are conducted under different scenarios for both fused SPaT and non-fused SPaT strategy. The simulation results demonstrate a reduction in fuel consumption by 6.27 % and 5.69 % in two different scenarios, respectively, and a shorter driving time for the fused SPaT strategy compared to the non-fused SPaT strategy. • A novel car-following rules is proposed to ensure its safety. •An eco-ACC and energy management strategy is proposed with SPAT by combining the car-following control rules with the PMP. •The PMP is used to derive the explicitly optimal analytical solution of the eco-driving problem under signalized intersections. •The gearshift behavior of parallel HEV is considered by incorporating a single-parameter shift law. •Different methods are compared to validate the proposed method.

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Publication Details

Journal
Energy
Published
2024-10-25
DOI
https://doi.org/10.1016/j.energy.2024.133542
Citations
12
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
3.94
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article

Co-optimization on ecological adaptive cruise control and energy management of automated hybrid electric vehicles

Ziyou Song, Lehua Xiao, Serdar Coskun, Qi Dong Zhao et al.
12 citations
Energy
Traffic control and management
3.94
article

Co-optimization on ecological adaptive cruise control and energy management of automated hybrid electric vehicles

Ziyou Song, Lehua Xiao, Serdar Coskun, Qi Dong Zhao, Yongtao Liu, Shaobo Xie, Jiacheng Li, Fengqi Zhang
article en
12 citations

Abstract

Electrified drive systems and eco-driving technologies play a crucial role in promoting energy conservation. Eco-driving for hybrid electric vehicles(HEVs) is an intricate problem involving intertwined speed planning and energy management . In this context, an ecological adaptive cruise control (eco-ACC) and powertrain energy management strategy considering Signal Phase Timing Message (SPaT) can enhance both performance and real-time implementation. Specifically, this study develops a novel co-optimization method based on Pontryagin's minimum principle (PMP) that combines car-following control rules with the SPaT for a parallel HEV. The methodology involves the following steps: firstly, the parallel HEV model is established; secondly, the safe following distance model is constructed and the car-following control rules are devised to ensure safe driving. Subsequently, the co-optimization method based on PMP is then presented to simultaneously optimize the eco-driving problem of an ego-vehicle by converting the inter-vehicle distance constraint of the lead-vehicle into the limitation of the speed of the ego-vehicle. Finally, simulations are conducted under different scenarios for both fused SPaT and non-fused SPaT strategy. The simulation results demonstrate a reduction in fuel consumption by 6.27 % and 5.69 % in two different scenarios, respectively, and a shorter driving time for the fused SPaT strategy compared to the non-fused SPaT strategy. • A novel car-following rules is proposed to ensure its safety. •An eco-ACC and energy management strategy is proposed with SPAT by combining the car-following control rules with the PMP. •The PMP is used to derive the explicitly optimal analytical solution of the eco-driving problem under signalized intersections. •The gearshift behavior of parallel HEV is considered by incorporating a single-parameter shift law. •Different methods are compared to validate the proposed method.

EnergyVol. 314
Chongqing University (CN), National University of Singapore (SG), Chang'an University (CN), Chery Automobile (China) (CN), Tarsus University (TR)
Affordable and clean energy
Openalex Percentile: Top 6%
Traffic control and management
3.94
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