A fast sliding-mode-based estimation of state-of-charge for Lithium-ion batteries for electric vehicle applications

2021 ◽  
pp. 103484
Author(s):  
Omid Rezaei ◽  
Hossein Azizi Moghaddam ◽  
Behnaz Papari
Keyword(s):  
Lithium Ion Batteries ◽  
Electric Vehicle ◽  
Sliding Mode ◽  
Lithium Ion ◽  
State Of Charge

Investigation of Mechanical Integrity of Prismatic Lithium-Ion Batteries With Various State of Charge

2020 ◽  
Vol 18 (3) ◽  
Author(s):  
Tao Wang ◽  
Xiaoping Chen ◽  
Gang Chen ◽  
Hongbo Ji ◽  
Ling Li ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Lithium Ion Batteries ◽  
Electric Vehicle ◽  
Lithium Ion ◽  
State Of Charge ◽  
Finite Element Models ◽  
Similar Response ◽  
Loading Direction ◽  
Safety Design ◽  
Curve Profile

Abstract The crush safety of lithium-ion batteries (LIBs) has recently become one of the hottest topics as the electric vehicle (EV) market is growing rapidly. In this study, mechanical properties of prismatic lithium-ion batteries under compression loading are investigated. Batteries with different values of state of charge (SOC) under different loading directions are compared. Results show LIB cells with different SOCs under same loading direction exhibit similar response curve profile, however, the load capacities of LIBs can be influenced by SOCs. The stiffness and stress have approximately linear relationship with the SOC values. Based on experimental results, finite element models are established which can predict the mechanical properties of prismatic LIBs. The proposed models can be utilized to evaluate the crush behaviors of LIBs, providing guidance for electric vehicle safety design.

Robust High-Gain Observer Approach to State of Charge for Lithium-Ion Batteries of Automated Guided Vehicles

2014 ◽  
Vol 536-537 ◽  
pp. 1562-1565
Author(s):  
Sung Hoon Yu ◽  
Chang Ho Hyun ◽  
Hyo Seok Kang
Keyword(s):  
Lithium Ion Batteries ◽  
Sliding Mode ◽  
Lithium Ion ◽  
Response Speed ◽  
High Gain ◽  
State Of Charge ◽  
Automated Guided Vehicles ◽  
Control Technique ◽  
Perturbation Problem ◽  
High Gain Observer

This paper introduces a robust high-gain observer based state of charge (SOC) estimator for lithium-ion batteries of automated guided vehicles (AGV) . The proposed observer scheme enhances the transient response speed and diminishes the effect of uncertainties. Furthermore, it overcomes the perturbation problem, which is caused by high gains since the proposed observer scheme adopts sliding mode control technique. In order to verify the effectiveness of the propose method, the linear RC battery model in ADVISOR is used.

Joint Estimation of State of Charge and Capacity of Lithium-ion Batteries in Electric Vehicle

2021 ◽  
Author(s):  
Yuehui Wang ◽  
Tao Wei ◽  
Denggao Huang ◽  
Xu Wang ◽  
Zhongwen Zhu ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Electric Vehicle ◽  
Lithium Ion ◽  
State Of Charge ◽  
Joint Estimation

scholarly journals A Dynamic State-of-Charge Estimation Method for Electric Vehicle Lithium-Ion Batteries

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 121 ◽  
Author(s):  
Xintian Liu ◽  
Xuhui Deng ◽  
Yao He ◽  
Xinxin Zheng ◽  
Guojian Zeng
Keyword(s):  
Particle Filter ◽  
Lithium Ion Batteries ◽  
Electric Vehicle ◽  
Smart Cities ◽  
Estimation Method ◽  
Lithium Ion ◽  
State Of Charge ◽  
Dynamic State ◽  
Battery Management System ◽  
Advantages And Disadvantages

With the increasing environmental concerns, plug-in electric vehicles will eventually become the main transportation tools in future smart cities. As a key component and the main power source, lithium-ion batteries have been an important object of research studies. In order to efficiently control electric vehicle powertrains, the state of charge (SOC) of lithium-ion batteries must be accurately estimated by the battery management system. This paper aims to provide a more accurate dynamic SOC estimation method for lithium-ion batteries. A dynamic Thevenin model with variable parameters affected by the temperature and SOC is established to model the battery. An unscented Kalman particle filter (UPF) algorithm is proposed based on the unscented Kalman filter (UKF) algorithm and the particle filter (PF) algorithm to generate nonlinear particle filter according to the advantages and disadvantages of various commonly used filtering algorithms. The simulation results show that the unscented Kalman particle filter algorithm based on the dynamic Thevenin model can predict the SOC in real time and it also has strong robustness against noises.

Observer-Based Diagnostic Scheme for Lithium-Ion Batteries

2015 ◽  
Author(s):  
Zoleikha Abdollahi Biron ◽  
Pierluigi Pisu ◽  
Beshah Ayalew
Keyword(s):  
Lithium Ion Batteries ◽  
Sliding Mode ◽  
Lithium Ion ◽  
Temperature Sensors ◽  
State Of Charge ◽  
Sensor Faults ◽  
Sensor Actuator ◽  
Current Voltage ◽  
Battery State Of Charge ◽  
Diagnosis Approach

This paper presents an observer-based fault diagnosis approach for Lithium-ion batteries. This method detects and isolates five fault types, which include sensor faults in current, voltage and temperature sensors, failure in fan actuator and a fault in battery State-of-Charge (SOC) dynamics. Current, voltage and temperature of the battery are taken as the only available measurements and a Kalman filter and a sliding mode observer are constructed. Three residuals derived from a combination of these observers generate fault signatures that are used to detect and isolate the sensor, actuator and SOC faults in the system. Simulation results show the effectiveness of the approach.

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