Anurag Kamal ElectricFish Energy, Inc

1. INTELLIGENT BATTERY-BASED
EXTREME-FAST-CHARGING(XFC) INFRASTRUCTURE
Anurag Kamal

2. Contents
The economic value of energy storage integration for locally
curtailing EV charging loads
Predicting and supporting the growth of local loads of
e-mobility and related infrastructure
Technology and challenges on building an
extreme-fast-vehicle charging service
1
2
3

3. ElectricFish Energy Inc.
3
Anurag Kamal, MS
CEO
Early stage climate tech company based in Fremont, incorporated in 2020
Nelio Batista
CTO
Fola Ayoola, MS
CSO
Battery research,
e-truck. 2X founder.
Michigan Tech, MSME,
BMW, Volvo, Oak Ridge Natl Lab
Building and deploying full-stack
hardware and software systems.
SPID, UFU,
NASA Ames.
Energy engineering, specializing in
energy optimization.
Stanford MS, PhD 2023.
Hawaii Public Utilities, Chevron
Vince Wong, MBA
COO
Market needs into product strategies.
2X founder.
Cornell Tech MBA,
CELI, Mastercard, Capgemini

4. The Big Problem
4
Intermittency of
deployed renewables
Going all-electric on
EVs
More battery Storage
More Fast Charging
Dropping Reliability of
aging Electricity Grid
More energy infrastructure

5. 5
Nearby
3502
Nearby
3502
Like Gasoline- 200 Miles 10 mins
EV Charging- 350 kW
Rapid installation
No site preparation/ electrical upgrade
Backup Power 40 homes for 6 hours
Grid intertie - 40 kW
Introducing 3502
US patent #11,007,891

6. Before you ask - how many vehicles on the road can charge that fast?
Porsche Taycan
0-100% charging rates data
Porsche Taycan (93 kWh Battery) Fast Charging Analysis: Very Good (insideevs.com)
Miles / 10 min
of charging
Length of Charging Session
42%
59%
73%
80%
84%
89% 90%
Battery SOC
In kW

7. Customers & Market Models
Lease Model for convenience stores
(Hardware + Software as a profit-share)
Buy model for franchises & Municipalities
(Maintenance + Software as a Services)
est $2-$50k/yr foot traffic
Oil Majors
Community Choice Aggregators
Electrical utilities
Municipalities

8. But why us?
Sample competitor utilization Our utilization

9. Monte Carlo simulations of Revenue Mix up
Revenue
per
year
Net
revenue
with
LCFS
No of vehicles
70% margins on sales

10. Ensuring traction
10
CoReScore
Site intelligence
Hardware- 3502
Resilient EV Infrastructure
Optimization engine
Real-time Load Balancing

11. De-risk EV charging location strategies
11
CoReScoreTM
(Community Resilience Score)
● EV traffic flow
● Local grid capacity
● Climate risk events
● Outage risk
● Socioeconomic data
● Site-level analytics
● Other
US patent #11,270,243
Identifies optimal sites for installation

12. CoreScore - Marin County
Has equity, commercial truck traffic and other utilization factors built in
Calibrates with “overall utilization gaps” evidenced in other’s EV Charging needs geo-analysis
Identifies census tracts with max utilization potential and/or equity-related needs
1. What do the colors mean?
a. Yellows are the best/
b. Bars best to least
Bad to deploy Good to deploy

13. A realistic vehicle traction growth
scenario
Vehicles/day
Scenario 2 Hourly arrival of vehicles

14. Technology & Challenges
Domestic Sourcing (74%)
Certification time and cost

15. Operational and maintenance challenges
Estimating cost of preventive maintenance
Reaching best in class uptime
Sample competitor breakup Our breakup
https://a.storyblok.com/f/78437/x/f28386ed92/2020-05-18_evgo-whitepaper_dcfc-cost-and-policy.pdf

16. Growth
Cash Flow positive
5 years from now
● 1 GWh capacity
● 3000 chargers
● 7 sessions per day!

17. Final thing!
Come work with us!
anurag@electricfish.co
Our funding round is closing!
Become our supplier!