Abstract

Lithium-ion batteries are deployed in a range of modern applications. Their utilization is evolving with the aim of achieving a greener environment. Batteries are costly, and battery management systems (BMSs) ensure long life and proper battery utilization. Modern BMSs are complex and cause a notable overhead consumption on batteries. In this paper, the time-varying aspect of battery parameters is used to reduce the power consumption overhead of BMSs. The aim is to use event-driven processing to realize effective BMSs. Unlike the conventional approach, parameters of battery cells, such as voltages and currents, are no longer regularly measured at a predefined time step and are instead recorded on the basis of events. This renders a considerable real-time compression. An inventive event-driven coulomb counting method is then presented, which employs the irregularly sampled data information for an effective online state of charge (SOC) determination. A high energy battery model for electric vehicle (EV) applications is studied in this work. It is implemented by using the equivalent circuit modeling (ECM) approach. A comparison of the developed framework is made with conventional fixed-rate counterparts. The results show that, in terms of compression and computational complexities, the devised solution surpasses the second order of magnitude gain. The SOC estimation error is also quantified, and the system attains a ≤4% SOC estimation error bound.

Highlights

  • Effective and green power sources are strongly needed in the context of ongoing global warming and environmental pollution

  • An impulsive charge/discharge current profile was used for the considered battery pack

  • These results indicate a substantial compression gain and processing effectiveness of the suggested solution compared to the traditional technique

Read more

Summary

Introduction

Effective and green power sources are strongly needed in the context of ongoing global warming and environmental pollution. In this sense, the development of environmentallyfriendly power sources and systems is growing. The level of pollution in the urban environment can be reduced by evading the use of voluminous batteries and the oil-powered vehicles This can be achieved by realizing and deploying long life and economical renewable energy sources and rechargeable and compact high power batteries, which can be effectively used in the industrial and transportation sectors [1]. An improvement is possible by using such batteries for off-peak energy storage in conventional grids Going forward, these charged batteries can power electric hybrid vehicles (EHVs) to reduce the amount of greenhouse emissions [2]

Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call