Article
Engineering, Mechanical
Li Ma, Keqi Mei, Shihong Ding
Summary: A direct yaw-moment control strategy is proposed in this paper, which is based on the adaptive terminal sliding mode (TSM) control technique and disturbance observer (DOB). This strategy aims to enhance the safety driving of in-wheel electric vehicles under extreme situations. The proposed adaptive TSM controller automatically searches for the minimum gain satisfying the reaching condition of sliding mode, while a new nonlinear DOB is constructed to estimate the disturbance. Simulation results validate the effectiveness of the proposed methods.
NONLINEAR DYNAMICS
(2023)
Article
Chemistry, Multidisciplinary
Henrique de Carvalho Pinheiro, Massimiliana Carello, Elisabetta Punta
Summary: This paper presents a methodology for designing and evaluating torque vectoring systems in hybrid electric vehicles. Comparing different controllers helps in making design choices. Electrification is a major trend in the automotive industry, and in-wheel electric motors are promising technologies yet to be fully developed. The paper analyzes different design possibilities for a torque vectoring system in a compact front-wheel drive hybrid electric vehicle with two rear axle wheel-integrated electric motors. A 14 degrees of freedom vehicle model is used to simulate the nonlinearities of vehicle dynamics and different control methods are compared. Chattering reduction strategies are developed to improve the performance of sliding mode controllers, and a performance factor is used to compare control systems.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Mechanical
Dejun Yin, Junjie Wang, Jinjian Du, Gang Chen, Jia-Sheng Hu
Summary: This paper proposes a new torque distribution control approach for four-wheel independent-drive electric vehicles, aiming to minimize longitudinal tire wear, increase generation of yaw moment by each tire, and achieve quicker yaw response. The proposed control approach shows better performance in hardware-in-the-loop simulations compared to prior torque distribution control methods.
Article
Engineering, Mechanical
Peikun Sun, Annika Stensson Trigell, Lars Drugge, Jenny Jerrelind
Summary: This study proposes a control method that combines DYC for energy-efficiency and DYC for stability to improve energy efficiency and stability of electric vehicles during turning maneuvers. By using DYC for energy efficiency during non-safety-critical cornering and combining DYC for energy efficiency with DYC for stability during cornering maneuvers containing both non-safety-critical and safety-critical parts, energy savings of 12% to 18% can be achieved.
VEHICLE SYSTEM DYNAMICS
(2022)
Article
Engineering, Electrical & Electronic
Laith Sami Sawaqed, Israa Hasan Rabbaa
Summary: This paper proposes a new concurrent control strategy to improve the handling and stability of a rear-wheel drive student electric racing vehicle equipped with two independent motors. By developing various control schemes and comparing them using a nonlinear model, the study shows that the proposed fuzzy controllers can effectively reduce energy consumption and enhance the vehicle's behavior and stability.
WORLD ELECTRIC VEHICLE JOURNAL
(2022)
Article
Mechanics
Andrea Mangia, Basilio Lenzo, Edoardo Sabbioni
Summary: The paper introduces an integrated approach to coordinate the main blocks of a torque-vectoring control framework, including a reference generator, a high level controller, and a low level controller. Drivers can select different driving modes to alter the vehicle's cornering response and maximize energy efficiency.
Article
Engineering, Mechanical
Tao Xu, Youqun Zhao, Qixian Zhao, Qiuwei Wang, Huifan Deng, Fen Lin
Summary: This paper proposes an improved direct yaw moment control strategy to enhance the handling stability of four in-wheel motor drive electric vehicles (4IWMD EVs). By utilizing the super-twisting algorithm (STA) and integral sliding mode observer (ISMO) to estimate and mitigate modeling errors and external disturbance, the proposed control strategy achieves superior tracking performance while reducing the chattering phenomenon.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2022)
Article
Computer Science, Information Systems
In-Gyu Jang, Seung-Han You, Sung-Ho Hwang, Wanki Cho
Summary: This paper introduces a new algorithm that independently manages braking and driving forces to improve lateral stability of a vehicle, ultimately enhancing vehicle motion performance. By controlling yaw rate and managing both driving and braking forces on all four wheels, the algorithm achieves the improvement of target yaw rate, with core contribution lying in determining the distribution logic for each wheel.
Article
Engineering, Multidisciplinary
V. Vidya, R. Sudharshan Kaarthik
Summary: The article discusses the rapid development of battery charging technology in the electric vehicle industry, highlighting the challenges faced by EV users such as lack of charging stations and range anxiety. It introduces integrated battery chargers as a viable solution and presents a mathematical model of IBC using split-phase machine for the first time, along with new feedforward terms to mitigate grid current harmonics.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Engineering, Mechanical
Haoran Tang, Shaoyi Bei, Bo Li, Xiaoqiang Sun, Chen Huang, Jing Tian, Hongzhen Hu
Summary: A new phase plane partitioning method (NPPPM) is proposed in this paper, and a new phase plane stability domain library is established for the stability control of distributed drive electric vehicles. The proposed method considers the influence of the front wheel rotation angle, avoids lateral instability caused by excessive front wheel turning, and improves the accuracy of vehicle stability judgment.
Article
Engineering, Mechanical
Xinxin Yao, Xianguang Gu, Ping Jiang
Summary: A coordination control strategy based on stability judgment is proposed for autonomous vehicles (AVs) to enhance handling and stability performance. The weights of controllers are adaptively adjusted according to the vehicle stability level, and the effectiveness of the proposed method is verified in a co-simulation environment.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Wawrzyniec Golebiewski, Konrad Prajwowski, Krzysztof Danilecki, Maciej Lisowski, Karol Franciszek Abramek
Summary: The article discusses the operational aspects of energy management strategy (EMS) - model predictive control (MPC) and presents a mathematical model for hybrid electric vehicle (HEV) to demonstrate the synergy of working machines. The comparison of results between factory control and MPC with different linear quadratic tracking (LQT) curves shows that applying thirteen reference LQT trajectories can result in a 4% reduction in fuel consumption for the HEV.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Mohammadali Kargar, Chen Zhang, Xingyong Song
Summary: This article studies the problem of autonomous hybrid electric vehicles following a leader, integrating the external dynamics and powertrain dynamics for optimization. A customized control strategy based on Approximate Dynamic Programming and neural networks is proposed, and the accuracy of the optimization solution is improved by applying the concept of reachable sets. Three case studies demonstrate that the examined integrated control strategy significantly improves fuel consumption compared to the separated optimization method.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Civil
Adorjan Kovacs, Istvan Vajk
Summary: This paper introduces a novel approach for path-following control of a four-wheeled autonomous vehicle, which includes independently driven rear wheels, independently braked four wheels, and jointly steered front wheels. The control algorithm focuses on safety by using optimization-based parts for path-following and control allocation of actuators. The proposed cost functions were compared to former ones in a simulation environment before being tested in real-time on a Lotus Evora test vehicle.
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
Article
Engineering, Electrical & Electronic
Xiaoqiang Sun, Yulin Wang, Yingfeng Cai, Pak Kin Wong, Long Chen, Shaoyi Bei
Summary: This article presents a precise, robust, and efficient DYC architecture for FWIA autonomous vehicles using the NTSM control method. It starts by establishing an accurate vehicle lateral dynamics model considering tire nonlinear mechanics. Then, it analyzes the vehicle lateral stability using the phase plane theory and calculates the optimal external yaw moments using the NTSM control algorithm. The proposed controller effectively improves the lateral stability of FWIA autonomous vehicles, eliminates steady errors, and achieves path tracking under extreme conditions.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
