Novel battery wear leveling method for large‐scale reconfigurable battery packs

Abstract

Summary As the market and the application areas of high capacity battery energy storage systems are rapidly increasing, there is a correspondingly high interest in the topic of minimizing battery state of health degradation in battery packs. In this article, a novel method for battery management in large‐scale battery packs is introduced, aiming to minimize battery degradation by enforcing a special wear leveling (WL) policy, adapted from the flash memory arrays. Using this method in conjunction with a hybrid mathematical‐electrochemical battery model, a reconfigurable battery management system (BMS) is proposed and evaluated. The results of the performance analysis and in‐depth comparisons with other state‐of‐the‐art solution shows that the proposed method achieves significantly longer operating times for the battery packs—for example, 415% improvement over the classical BMS in the load current variation scenario. As the computing and memory requirements are relatively low, the new battery WL method can also be implemented on embedded systems with limited resources.

Nanofluid thermoelectric cooler based advanced battery thermal management system for battery degradation mitigation in real driving cycles

“…The effect of the heat transfer coefficient within the channels (28,30,32, and 34 W/m 2 ÁK) has been studied for the advanced thermal management system. The conditions are considered as: the target temperature of T trgt = 298.65K, effective hydraulic diameter of D = 0.02 m, the nanoparticle mass fraction of α ¼ 0, ambient temperature of T amb = 298.15K, U = 100 W/ m 2 ÁK, and n = 12.…”

“…In an effective work, a novel method for battery management in large‐scale battery packs is introduced, aiming to minimize battery degradation by enforcing a special wear leveling policy, adapted from the flash memory arrays. The results show that the proposed method achieves significantly longer operating times for the battery packs—for example, 415% improvement over the classical BMS in the load current variation scenario 32 …”

“…The results show that the proposed method achieves significantly longer operating times for the battery packs-for example, 415% improvement over the classical BMS in the load current variation scenario. 32…”

Reconfigurable battery systems: Challenges and safety solutions using intelligent system framework based on digital twins

“…To counter these, there is a strong need for industrial design of BMS integration in RBS for maximum reconfigurability, scalability, reliability and cost-effectiveness in real-time fashion with minimum hardware elements (contractors, relays, switches, circuit breakers and fuses), minimum computational (simpler and accurate estimation algorithms) burden and communication resources (Controller Area Network) etc. [2,5]. Though, some recent developments in RBS and its synergetic integrations with BMS are seen, the intelligent comprehensive framework in overcoming these challenges simultaneously is still not illustrated [1].…”

The impacts of the gas diffusion layer contact angle on the water management of the proton exchange membrane fuel cells: Three‐dimensional simulation and optimization

“…Due to the current restrictions on using internal combustion engines (ICEs), the interest in fuel cells and batteries has grown drastically. 1 The adverse impacts of fossil fuels on the environment, lower efficiencies of the ICEs, and depleting resources of fossil fuels are the main reasons to improve the performances of the batteries and fuel cells. 2 Herein, the proton exchange membrane fuel cell (PEMFC) is recognized as the most efficient, and commercialized type of fuel cell in low temperature applications.…”