Online Sensorless Temperature Estimation of Lithium-Ion Batteries Through Electro-Thermal Coupling

IEEE/ASME Transactions on Mechatronics

Published On 2024/3/1

Owing to the nonnegligible impacts of temperature on the safety, performance, and lifespan of lithium-ion batteries, it is essential to regulate battery temperature to an optimal range. Temperature monitoring plays a fundamental role in battery thermal management, yet it is still challenged by limited onboard temperature sensors, particularly in large-scale battery applications. As such, developing sensorless temperature estimation is of paramount importance to acquiring the temperature information of each cell in a battery system. This article proposes an estimation approach to obtain the cell temperature by taking advantage of the electrothermal coupling effect of batteries. An electrothermal coupled model, which captures the interactions between the electrical and the thermal dynamics, is established, parameterized, and experimentally validated. A closed-loop observer is then designed based on this coupled model …

Journal

IEEE/ASME Transactions on Mechatronics

Published On

2024/3/1

Authors

Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

Position

Professor at

H-Index(all)

104

H-Index(since 2020)

72

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Power Electronics

Smart Batteries

AI

University Profile Page

Yunhong Che

Yunhong Che

Chongqing University

Position

H-Index(all)

16

H-Index(since 2020)

16

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Energy Storage Systems

Transportation electrification

Prognostics and Health Management

Battery

University Profile Page

Other Articles from authors

Yunhong Che

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Remus Teodorescu

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IEEE/ASME Transactions on Mechatronics

Design of MMSD Six-Bar Rehab Device Toward the Realization of Multiple Gait Trajectories With One Adjustable Parameter

Single degree-of-freedom (DOF) mechanisms have been widely used as motion executers for their compact structure and simple control. However, a single-DOF device can only lead through one specific motion trajectory. This article proposes an approach to design multimode single-DOF (MMSD) six-bar devices, which could realize multiple task trajectories using only one driving motor via an optimized structure with a selected adjustable parameter (A-Parameter). First, a source mechanism for multimode Watt-I six bar linkage is designed with nine candidate adjustable parameters, which enables the same mechanism to fit multiple different trajectories by selecting one specific parameter to be adjustable. Next, to determine the optimal A-Parameter, a multiobjective optimization algorithm nondominated sorting genetic algorithm II (NSGA-II)-adaptive rotation-based simulated binary crossover (ARSBX) is used to …

Xiao Hu

Xiao Hu

Jilin University

IEEE/ASME Transactions on Mechatronics

Embedded Model Predictive Control for Torque Distribution Optimization of Electric Vehicles

Torque distribution optimization of electric vehicles should consider various demands, including energy conservation, power, and tire antislip, which are usually coupled. Furthermore, there is a higher requirement for real-time feasibility of controllers. This study proposes an embedded model predictive controller called EmMPC and applies it to the torque distribution optimization of electric vehicles equipped with two or more motors. In EmMPC, barrier functions and normalized projected gradients are utilized to handle state inequality and linear input constraints. A fast line search method combined with heuristic search regions and quadratic function properties is presented to reduce computational burden further. Subsequently, an offline and online combined torque distribution optimization strategy is presented based on EmMPC and an analysis of maximum energy-saving potential. Finally, hardware-in-the-loop …

Armin Badre

Armin Badre

University of Alberta

IEEE/ASME Transactions on Mechatronics

Iterative Learning for Gravity Compensation in Impedance Control

Robot-assisted arthroscopic surgery has been increasingly receiving attention in orthopedic surgery. To build a robot-assisted system, dynamic uncertainties can be a critical issue that could bring robot performance inaccuracy or even system instability if cannot be appropriately compensated. Disturbance observer is a common tool to be used for disturbance estimation and compensation by taking all uncertainties as disturbances, but this will refuse human–robot interaction since the human-applied force will also be regarded as a disturbance by the observer. Iterative learning for gravity compensation can be another promising way to solve this problem when gravity compensation is the main concern. In this article, a gravity iterative learning (Git) scheme in Cartesian space for gravity compensation, integrating with an impedance controller, is presented. A steady-state scaling strategy is then proposed, which …

Sara-Adela Abad

Sara-Adela Abad

University College London

IEEE/ASME Transactions on Mechatronics

Position and Orientation Control for Hyperelastic Multisegment Continuum Robots

Elastomer-based soft-continuum robots with an extensible backbone exhibit high flexibility. These manipulators might show nonlinear kinematic behaviors due to, for example, the material hyperelasticity and means of actuation. Formulating a reliable kinematic model for an effective inverse kinematics control strategy is challenging, but is paramount for allowing effective manoeuvrability and controllability. In this article, we devise a kinematic modeling and control method for pneumatic-driven soft-continuum robots (up to 100% elongation ratio). The method is based on the Cosserat rod model including a pressure-dependent dynamic modulus. The kinematic model and control strategy are then expressed as nonlinear least-squares optimization problems. Hence, various inverse kinematics control modes can be achieved for a multisegment robot, e.g., tip position and orientation control of the overall robot or tip …