Explore this guide to know more about how you can predict the future of your batteries and apply predictive maintenance systems for battery protection.

1. Adopting
Predictive
Maintenance
Systems for
Battery
Protection
https://www.bacancytechnology.com

2. Quick Summary:
It can be tough to know when a battery
failure may be knocking at your door. But,
what if we tell you that you can exactly
know when to prevent any failure or a
potential threat with the help of accurate
predictive maintenance systems?
Through this blog, we will share the best
practices on how you can predict the future
of your batteries and make predictive
maintenance systems for battery protection
a viable reality. Let’s begin!

3. Introduction

4. Did you know that in the next 3 years, the
GOI (Government Of India) is planning to go
all-electric? Well, we are talking about the
government vehicles here. The execution of
this plan will ramp up the roadmap to
achieve net-zero emissions by 2070.
Certainly, the subsidization and the battery
swapping policies will supplement faster EV
adoption.
The changes toward sustainable mobility
solutions are beginning to strain the
transmission and distribution of energy
storage systems. Over the past couple of
years, there has been an increase in Battery
Energy Storage Systems (BESS) frequency
to manage and effectively distribute the
load of storing high-intensity batteries.

5. At the same time, the stakeholders in the EV
ecosystem like the OEMs and battery
manufacturers are considering putting their
efforts into creating the safest standards
and best practices for sustaining electric
vehicles in the long run. One of the most
promising ways to ensure that your battery
is safe and secured is by utilizing the right
predictive maintenance systems.
Let us explore in-depth all about predictive
maintenance systems for battery protection
and how they can assist a battery
manufacturer or an EV owner know their
battery’s health and ensuring the battery
pack’s safety.

6. Understanding
Predictive
Maintenance
Systems for
Battery
Protection

7. Predictive maintenance for battery
protection precisely tells you the right
timing for undergoing battery maintenance
or troubleshooting operation. It collects
multiple varying data point inputs obtained
from the battery management system to
deduce accurate predictions for the battery
pack’s maintenance status.
You can either predict it manually or
prevent any incident, catastrophe, or
potential failure with the aid of IoT
applications employing cloud technology
and advanced machine learning algorithms.

8. Use your battery pack –
carefree.
With our smart Battery Management
System, you can save additional
maintenance costs for your energy storage
systems.
The researchers at the University of
Cambridge have analyzed that the power of
AI/ML to predict battery health is 10x times
more accurate than the industrial
standards. It is interesting to note that
predictive maintenance systems have
reported savings ranging from 30-40%
compared to reactive maintenance and 8-
12% over preventive maintenance.

9. When you choose the advanced predictive
maintenance systems for battery
protection, you know exactly when the
battery pack will reach its end of life, having
enough time for a replacement.
Here are some of the top benefits of
adopting this battery protection system:

10. Benefits of Predictive
Maintenance for Battery
Protection
1. Lesser downtime is required in
equipment maintenance.
2. Effective and optimal battery use till the
EOL (End-Of-Life)
3. Elimination of faulty cells.
4. Enhancing the overall battery progress
and sustainability
5. Minimal loss in productive hours

11. 6. Cost reduction in unwanted maintenance
and spare part replacement.
Let’s briefly discuss how you can
implement predictive maintenance systems
for battery protection.
Also Read:
IoT Based Battery Management System in Electric
Vehicles

12. How to
Implement
Predictive
Maintenance?

13. To use predictive maintenance, the
analytics tools such as the IoT battery
management systems with an interactive
and user-friendly UI assists in ramping up
the shift towards these advanced
technologies enabling safer and more
efficient battery life.

14. Identify the critical components of the
battery pack which require undergoing
maintenance check.
Maintain a systematic record, keeping a
history of all the activities detected by
the battery management system.
Evaluate the current anomalies in the
existing set of battery activities, such as
temperature and voltage fluctuations in
idle state and during charging.
Carry out audits related to Process
Failure Mode Effect Analysis (PFMEA).
Classify different predictive
maintenance systems to select the
predictive maintenance technology
which matches the requirement.
You should consider the steps below before
performing a predictive maintenance run:

15. Worried about how to take
the next step towards
securing your battery pack
systems?
Get in touch with India’s most reliable BMS
manufacturers and suppliers to enable a
more safe and efficient EV experience
today!

16. Advancing
Your
Predictive
Maintenance
Systems with
IONDASH

17. IONDASH:
India’s most advanced cloud battery
management platform detects any
deviations from the normal functioning and
operations of the most valuable asset of
your electric car, the battery. IONDASH is
equipped with the most advanced
algorithms for battery storage risk
assessment.

18. This cloud analytics platform uses data
analysis and real-time normalization
techniques to help you know your battery
status. It facilitates remote mirroring and
location tracking for your connected
device(s) so that you can address any
potential threats preventing thermal
runaway or sometimes catastrophes.
IONDASH is at par with the battery storage
regulations and anticipates even the
smallest probabilities of situations
requiring maintenance support. This
reduces the overall cost of overhauling the
operations, saving time, effort, and
expenses in maintenance.

19. Key Features of IONDASH:
Accurate prediction and forecast help
you weed out the potential threats to
your energy storage systems, making
them more reliable and trustworthy.
Gone are the times when you would
have faced battery outages; with
IONDASH, you can operate your
systems 24*7 with better efficiency and
performance.
With remote mirroring and an alert
notification system, you can know your
real-time device status and the battery’s
SOC and SOH.

20. Final Words

21. We can’t deny the fact that adopting
predictive maintenance systems for battery
protection requires an initial investment,
training of the personnel, and a change in
the ideology.
However, the value it brings to the table is
unmatched by the reasons not to go for it.
The future of battery management system
for electric vehicles depends on predictive
maintenance. And if you can predict your
EV battery pack’s future, then why
shouldn’t you?

22. Thank You
www.bacancytechnology.com