Battery-Management System (BMS) and SOC Development for Electrical Vehicles
By K. Cheng, B. Divakar, Hongjie Wu, Kai Ding, H. F. Ho. IEEE Transactions on Vehicular Technology, 2011
602 citations recorded by the source corpus.
Subfields: Automotive Engineering, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/517041884fbd0611bc713a8c6ecd33fb3d4458a7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Rui Xiong
- Fengchun Sun
- Hongwen He
- Chinemerem Christopher Ibe-Ekeocha
- K. Cheng
- Hicham Chaoui
- Yuanmao Ye
- Saad Mekhilef
In Control and Systems Engineering
Citations in the corpus
- Modeling and Analysis of Series–Parallel Switched-Capacitor Voltage Equalizer for Battery/Supercapacitor Strings (2015, background): “To overcome this problem, the voltage-balancing device, also known as a voltage equalizer, is an indispensable piece of equipment in battery-management systems [1]–[4].”
- Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach (2013, background): “In addition, the accurate estimation of the battery’s SoC is also a key factor to manage batteries efficiently and to provide the basis for the determination of its power distribution strategy in EVs [5]–[9].”
- Energy Management and Optimization Methods for Grid Energy Storage Systems (2018, background): “A review of energy storage benefits for grid applications is presented in [4] and [15].”
- State of Charge Estimation for Lithium-Ion Battery Based on Nonlinear Observer: An H∞ Method (2017, background): “This implies that the proposed H∞-based nonlinear observer can achieve faster convergence and better robustness than the classic EKF [3,8,9].”
- State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks (2017, methodology): “The method in [14] computes SOC in a three stage process.”