<p>Lithium-ion
batteries are regarded as the batteries that could potentially change the
world. From consumer electronics and electric vehicles to energy storage
systems and aerospace applications, Li-ion based batteries have become the
norm. Although these batteries show a lot of promise to rid the world of
several challenges in the future, there are still a few shortcomings of this
battery that need to be addressed. It is also important to note the recent
accidents caused due to the explosion of these lithium-ion batteries, to name a
few: Samsung Galaxy Note 7 explosion, e-cigarettes battery explosion,
overheating of lithium batteries present in Apple MacBook Pro laptop. This
calls for a more reliable and accurate Battery Management System (BMS). One of
the major shortcomings in today’s available battery management systems is the accuracy
of the measurement of charge present in lithium-ion batteries, termed as
State-of-Charge (SoC) and State-of-Energy (SoE) of the battery. </p>
<p>To
address this problem, a highly sensitive and a high-resolution system is
developed to estimate the State-of-Charge based on the changes in impedance of a
sensor coil which is caused due to the effect of Eddy Current Power Loss in the
battery. The redox reaction taking place inside a battery suggest that lithium
ions are exchanged back-and-forth between anode and cathode during an event of
charging and/or discharging of the battery. This gives rise to change in electrical
resistivity of the battery electrode materials. A sensor coil which is excited
with an AC magnetic field induces Eddy currents on the internal components of
the battery. Based on the change in resistivity of the electrode materials, eddy
current and hence the power loss due to Eddy currents change. This in turn
changes the complex impedance of the sensor coil, which is mapped to estimate the
SoC of the battery. The results confirm the superiority of the proposed
technique in terms of sensitivity, resolution, computational complexity and
cost of the measured SoC in comparison with other existing methods of estimating
SoC. This can be a potential method to estimate SoE of the battery as well. </p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/11328116 |
| Date | 31 January 2022 |
| Creators | Suchitra Ramesh (8088221) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/Eddy_Current_Loss_Based_Non-Intrusive_State-of-Charge_Estimation_System_for_Lithium_Based_Batteries/11328116 |
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