PHEV/EV Li-Ion Battery Second-Use MOHAMMAD ANEEQ KHAN, AMMAR SALEEM, JARED ROSZKO, AND NABIL ALI ADVISOR-DR. HANA GODRICH SCHOOL OF ENGINEERING MOTIVATION • To utilize retired Lithium ion batteries from EV’s and PHEV’s for reusable Power source for Residential application. DESIGN • We have divided the Project in two phases, Hardware and Software. • First phase, we worked on Hardware layout of the physical Electronic materials, testing and creating the lithium-ion battery banks and Load Circuit. • Second phase ,we are using LabView software for measuring and monitoring the health of Battery bank. MANUFACTURED & INSTALLED IN AUTOMOBILE EMPLOYED IN AUTOMOTIVE APPLICATION REFURBISHED & INSTALLED IN SECOND USE APPLICATION EMPLOYED IN SECOND USE APPLICATION RECYCLE HARDWARE SOFTWARE OBJECTIVE Electric vehicles (EV’s) and plug-in hybrid electric vehicles (PHEV’s) are gaining popularity in the US and around the world because they are promoted as environmentally friendly cars. Air pollution, record high gas prices, and dependence on foreign oil are pushing sales growth of the EV’s and PHEV’s. Advertisements assure us of “zero emission” and the question asked is no longer “why electric?”, but “why gasoline?” While most electric car owners consider themselves “green”, the process of mining for lithium and the production of these batteries in reality is actually a less than “green” activity. In addition, the recycling process is neither simple nor cheap. RESULTS ACKNOWLEDGMENTS -Dr. Hana Godrich -Prof. Lu Yicheng REFERENCES • Andrea, Davide. Battery Management Systems for Large Lithium-ion Battery Packs. Boston: Artech House, 2010. Print. • Liu, Datong, et al. "Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression." Microelectronics Reliability 53.6 (2013): 832-839. We successfully plotted voltage drop across the battery banks and current drawn from battery banks against the time. Using the above measured values, we are able to calculate state of charge of a battery bank and using the stated of charge we are able to predict state of health (SOH). SOH = Ci x 100% Ci= final Capacity Co Co= initial Capacity Our Battery Management System (BMS) demonstrated the the idea of using the retired lithium-ion batteries for secondary usage in residential applications. Battery state of Health overtime using battery capacity value

PHEV/EV Li-Ion Battery Second-Use - Rutgers ECE · PHEV/EV Li-Ion Battery Second-Use ... testing and creating the lithium-ion battery banks and Load ... Battery Management Systems

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PHEV/EV Li-Ion Battery Second-Use

MOHAMMAD ANEEQ KHAN, AMMAR SALEEM, JARED ROSZKO, AND NABIL ALI

ADVISOR-DR. HANA GODRICH

SCHOOL OF ENGINEERING

TIV

ION

• To utilize retired Lithium ion batteries from EV’s and PHEV’s for reusable Power

source for Residential application.

SIG

• We have divided the Project in two phases, Hardware and Software.

• First phase, we worked on Hardware layout of the physical Electronic

materials, testing and creating the lithium-ion battery banks and Load

Circuit.

• Second phase ,we are using LabView software for measuring and

monitoring the health of Battery bank.

MANUFACTURED & INSTALLED IN

AUTOMOBILE

EMPLOYED IN AUTOMOTIVE APPLICATION

REFURBISHED & INSTALLED IN SECOND USE

APPLICATION

EMPLOYED IN SECOND USE

APPLICATION

RECYCLE

HARDWARE SOFTWARE

OBJECTIVE

Electric vehicles (EV’s) and plug-in hybrid electric vehicles (PHEV’s) are gaining

popularity in the US and around the world because they are promoted as environmentally

friendly cars. Air pollution, record high gas prices, and dependence on foreign oil are

pushing sales growth of the EV’s and PHEV’s. Advertisements assure us of “zero

emission” and the question asked is no longer “why electric?”, but “why gasoline?”

While most electric car owners consider themselves “green”, the process of mining for

lithium and the production of these batteries in reality is actually a less than “green”

activity. In addition, the recycling process is neither simple nor cheap.

RESULTS

ACKNOWLEDGMENTS

-Dr. Hana Godrich -Prof. Lu Yicheng

REFERENCES

• Andrea, Davide. Battery Management Systems for Large Lithium-ion Battery Packs. Boston: Artech House, 2010. Print.

• Liu, Datong, et al. "Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression." Microelectronics Reliability 53.6 (2013): 832-839.

We successfully plotted voltage drop across the battery banks

and current drawn from battery banks against the time.

Using the above measured values, we are able to calculate state

of charge of a battery bank and using the stated of charge we

are able to predict state of health (SOH).

SOH = Ci x 100% Ci= final Capacity

Co Co= initial Capacity

Our Battery Management System (BMS) demonstrated the the

idea of using the retired lithium-ion batteries for secondary

usage in residential applications.

Battery state of Health overtime using battery capacity value