Simulation of smarter battery management system and charging for electrical vehicle application

Shreyansh Pagaria, Nithesh Naik, Dundesh Shivalingappa Chiniwar, Nilakshman Sooriyaperakasam, Udit Rathee

Research output: Contribution to journalArticlepeer-review


A vital component of electric and hybrid vehicles is the Battery Management System (BMS). The electric vehicle (EV) market also retains the energy storage (ESS) technology logjam. Lithium-ion batteries (Li-ion) has attracted significant interest in the EV industry because of their high-energy capacity, lifetime, nominal voltage, power efficiency, and cost. For electricity cars, oneof the most critical elements is the sophisticated battery management system (BMS), which not only reliably tests the state of the battery, but also ensures safe operation and battery life. In the case of high voltage and capacity requirements, the battery management system tends to fail in function. Charging being an integral part of Electric Vehicle (EV) as it refuels the battery pack corresponding to calibrated values. Generally, the charger consists of a power electronic converter with filters mounted to get the precise required output. This paper simulates and proposes a newer design of the Battery Management System (BMS), BMS-IC holder to improvise the accuracy and acquisition rate. IC-LTC6804-2 was chosen because of its perfect and apt parameters. Design of a low-cost IC holder and schematic of customized Battery Management System (BMS) with various sensors and Arduino microcontroller is discussed in the present study based on the control theory, a spatial model for the charging of Electric Vehicles (EV's). The feasibility of the proposed optimization method is tested based on network topology and electrical characteristics of the network. The simulation results show that the proposed charging optimization strategy can filter the peaks during the distribution network as opposed to the disorderly charging scenario. It is conducive to distribution network efficiency, stability, and economic activity.

Original languageEnglish
Pages (from-to)5365-5379
Number of pages15
JournalJournal of Green Engineering
Issue number9
Publication statusPublished - 09-2020

All Science Journal Classification (ASJC) codes

  • Environmental Engineering


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