activity
20192023
most citedRobust Platoon Control in Mixed Traffic Flow Based on Tube Model Predictive Control

167 citations · 303 across the 18 of their papers we have counts for

collaborators

18 papers

eess.SY2023★ 33 cited

Driving behavior-guided battery health monitoring for electric vehicles using machine learning

Nanhua Jiang, Jiawei Zhang, Weiran Jiang +4

An accurate estimation of the state of health (SOH) of batteries is critical to ensuring the safe and reliable operation of electric vehicles (EVs). Feature-based machine learning…

eess.SY2023★ 1 cited

Challenges and Opportunities for Second-life Batteries: A Review of Key Technologies and Economy

Xubo Gu, Hanyu Bai, Xiaofan Cui +5

Due to the increasing volume of Electric Vehicles in automotive markets and the limited lifetime of onboard lithium-ion batteries (LIBs), the large-scale retirement of LIBs is immi…

eess.SY2023★ 4 cited

Optimal battery thermal management for electric vehicles with battery degradation minimization

Yue Wu, Zhiwu Huang, Dongjun Li +4

The control of a battery thermal management system (BTMS) is essential for the thermal safety, energy efficiency, and durability of electric vehicles (EVs) in hot weather. To addre…

eess.SY2023

Overtaking-enabled Eco-approach Control at Signalized Intersections for Connected and Automated Vehicles

Haoxuan Dong, Weichao Zhuang, Guoyuan Wu +3

Preceding vehicles typically dominate the movement of following vehicles in traffic systems, thereby significantly influencing the efficacy of eco-driving control that concentrates…

eess.SY2023

Extended Neighboring Extremal Optimal Control with State and Preview Perturbations

Amin Vahidi-Moghaddam, Kaixiang Zhang, Zhaojian Li +3

Optimal control schemes have achieved remarkable performance in numerous engineering applications. However, they typically require high computational cost, which has limited their…

eess.SY2023★ 38 cited

Physics-Augmented Data-EnablEd Predictive Control for Eco-driving of Mixed Traffic Considering Diverse Human Behaviors

Dongjun Li, Kaixiang Zhang, Haoxuan Dong +3

Data-driven cooperative control of connected and automated vehicles (CAVs) has gained extensive research interest as it can utilize collected data to generate control actions witho…

cs.RO2023

ABatRe-Sim: A Comprehensive Framework for Automated Battery Recycling Simulation

Huanqing Wang, Kaixiang Zhang, Keyi Zhu +2

With the rapid surge in the number of on-road Electric Vehicles (EVs), the amount of spent lithium-ion (Li-ion) batteries is also expected to explosively grow. The spent battery pa…

eess.SY2022

Adaptive Leading Cruise Control in Mixed Traffic Considering Human Behavioral Diversity

Qun Wang, Haoxuan Dong, Fei Ju +4

This paper presents an adaptive leading cruise control strategy for the connected and automated vehicle (CAV) and first considers its impact on the following human-driven vehicle (…

eess.SY2022★ 13 cited

Data-Enabled Predictive Control for Fast Charging of Lithium-Ion Batteries with Constraint Handling

Kaixiang Zhang, Kaian Chen, Xinfan Lin +5

Fast charging of lithium-ion batteries has gained extensive research interests, but most of existing methods are either based on simple rule-based charging profiles or require expl…

eess.SY2021

Eco-Coasting Strategies Using Road Grade Preview: Evaluation and Online Implementation Based on Mixed Integer Model Predictive Control

Yongjun Yan, Nan Li, Jinlong Hong +4

Coasting has been widely used in the eco-driving guidelines to reduce fuel consumption by profiting from kinetic energy. However, the comprehensive comparison between different coa…

eess.SY2021★ 43 cited

Simultaneous Suspension Control and Energy Harvesting through Novel Design and Control of a New Nonlinear Energy Harvesting Shock Absorber

Mohammad R. Hajidavalloo, Joel Cosner, Zhaojian Li +2

Simultaneous vibration control and energy harvesting of vehicle suspensions have attracted significant research attention over the past decades. However, existing energy harvesting…

eess.SP2020★ 1 cited

Robust State of Health Estimation of Lithium-ion Batteries Using Convolutional Neural Network and Random Forest

Niankai Yang, Ziyou Song, Heath Hofmann +1

The State of Health (SOH) of lithium-ion batteries is directly related to their safety and efficiency, yet effective assessment of SOH remains challenging for real-world applicatio…

eess.SY2020★ 1 cited

Individual Cell Fault Detection for Parallel-Connected Battery Cells Based on the Statistical Model and Analysis

Ziyou Song, Fanny Pinto Delgado, Jun Hou +2

Fault diagnosis is extremely important to the safe operation of Lithium-ion batteries. To avoid severe safety issues (e.g., thermal runaway), initial faults should be timely detect…

eess.SY2019★ 167 cited

Robust Platoon Control in Mixed Traffic Flow Based on Tube Model Predictive Control

Shuo Feng, Ziyou Song, Zhaojian Li +2

The design of cooperative adaptive cruise control is critical in mixed traffic flow, where connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) coexist. Compare…

eess.SY2019

Combined Energy and Comfort Optimization of Air Conditioning System in Connected and Automated Vehicles

Hao Wang, Mohammad Reza Amini, Ziyou Song +2

In this paper, we propose a combined energy and comfort optimization (CECO) strategy for the air conditioning (A/C) system of the connected and automated vehicles (CAVs). By levera…

eess.SY2019★ 1 cited

Simultaneous Identification and Control Using Active Signal Injection for Series Hybrid Electric Vehicles based on Dynamic Programming

Haojie Zhu, Ziyou Song, Jun Hou +2

Hybrid electric vehicles (HEVs) have an over-actuated system by including two power sources, a battery pack and an internal combustion engine. This feature of HEV is exploited in t…

eess.SY2019

A New Microscopic Traffic Model Using a Spring-Mass-Damper-Clutch System

Zhaojian Li, Firas Khasawneh, Xiang Yin +2

Microscopic traffic models describe how cars interact with their neighbors in an uninterrupted traffic flow and are frequently used for reference in advanced vehicle control design…

eess.SY2019★ 1 cited

The Sequential Algorithm for Combined State of Charge and State of Health Estimation of Lithium Ion Battery based on Active Current Injection

Ziyou Song, Jun Hou, Xuefeng Li +4

When State of Charge, State of Health, and parameters of the Lithium-ion battery are estimated simultaneously, the estimation accuracy is hard to be ensured due to uncertainties in…