How EV Charging Energy Management Software Saves You Money?

Electric vehicles (EVs) are transforming urban mobility with sustainable options for passenger and freight transport. However, managing large-scale charging for 4W fleets and electric buses poses energy and cost challenges. Kazam EV energy management software optimizes charging schedules, balances loads, integrates renewables and analyzes real-time data to boost efficiency and cut costs.

Understanding EV Energy Management Software for Fleets

EV energy management software is designed to monitor, control, and optimize the charging process for large-scale EV fleets. It helps operators manage electricity costs, avoid demand spikes, and ensure seamless fleet operation without overloading the grid.

Key Features of EV Energy Management Software

1. Smart Charging Scheduling

Electricity tariffs vary based on peak and non-peak hours, with lower rates available during off-peak periods. For fleet operators, scheduling charging during off-peak hours can significantly reduce electricity costs.

Example: BluSmart, an electric ride-hailing service in India, leverages energy management software to schedule charging at night when electricity tariffs are up to 40% cheaper than peak-hour rates, leading to significant cost savings.

Bus Fleets: Companies like NMMT (Navi Mumbai Municipal Transport) and Nuego ensure their electric buses are charged during low-demand periods, optimizing operational efficiency and lowering electricity expenses.

2. Load Balancing

Fleet depots and charging hubs experience high electricity demand when multiple vehicles charge simultaneously. Kazam Energy management software distributes energy efficiently across chargers, preventing grid overload and reducing peak demand charges.

Example: If a Bengaluru-based e-bus fleet using Kazam EMS implemented dynamic load balancing, ensuring 100+ buses could charge without exceeding the sanctioned load, that would save 20% on demand charges avoiding costly infrastructure upgrades.

3. Integration with Renewable Energy Sources

Fleet operators with solar installations can integrate renewable energy sources with their charging infrastructure to cut electricity costs further.

Example: The Delhi Metro Rail Corporation (DMRC) has implemented solar-powered EV charging stations at select metro hubs, reducing charging costs to as low as ₹4.5/kWh.

Bus Fleets: A Pune-based transport operator integrating solar panels with EV charging infrastructure reduced energy costs by 60%, saving over ₹1.5 lakh per month.

4. Real-Time Monitoring and Analytics

Continuous tracking of energy consumption allows fleet operators to identify inefficiencies and optimize charging habits, leading to reduced costs.

Example: If an e-mobility fleet operator in Hyderabad managing 50+ EVs analyzed their energy consumption using Kazam Energy Management Software, adjusting charging schedules and load balancing. This resulted in ₹5 lakh in annual savings.

How did we arrive at that number?

Fleet Details:

• Fleet size: 50 electric vehicles (EVs)
• Average charging power per vehicle: 50 kW
• Charging duration: 2 hours per vehicle
• Charging frequency: Once per day
• Cost per kWh: ₹10

Case 1: Without Real-Time Monitoring

• All 50 EVs are charged simultaneously without optimization.
• Daily energy consumption:

Daily Load = 50×50 kW×2 hours = 5000 kWh/day

Monthly energy consumption:

Monthly Consumption = 5000×30 = 150,000 kWh

• Monthly electricity cost:

Monthly Cost Without Optimization=150,000×10=₹15,00,000

Case 2: With Real-Time Monitoring and Optimization

By using real-time monitoring to adjust charging schedules, balance loads, and avoid peak demand periods, the operator reduced energy wastage and optimized power consumption by 3.5%.

• Optimized daily load:

Optimized Load = 5000×(1−0.035) = 4825 kWh/day

Monthly energy consumption after optimization:

Monthly Consumption (Optimized) = 4825×30 = 144,750 kWh

Monthly electricity cost with optimization:

Monthly Cost After Optimization = 144,750×10 = ₹14,47,500

Annual Savings Calculation:

• Monthly savings:
  
  

Monthly Savings = ₹15,00,000−₹14,47,500 = ₹52,500

• Annual savings:

Annual Savings = ₹52,500×12 = ₹6,30,000

See how a few small changes can bring so much impact? ;)

By utilizing smart EV energy management solutions in India, individuals and businesses can significantly cut electricity costs, optimize energy consumption, and make EV adoption more economical and sustainable.

Optimizing Energy Procurement for Fleets

Energy management software helps fleet operators secure lower electricity rates through bulk purchasing and open-access markets. For example, large fleet operators negotiate contracts and buy power during low-demand periods to reduce costs.

Scaling Charging Infrastructure Without Overloading the Grid

As fleets electrify, unmanaged growth can cause grid overloads and high costs. Kazam Energy Management Software ensures scalable charging with intelligent power distribution.

Example: A commercial EV charging hub in Mumbai expanded from 10 to 50 chargers without exceeding their sanctioned load by using dynamic load management, maximizing the use of existing electrical capacity.

Case Study:

Initial Setup:

• Number of chargers: 10
• Charger capacity per unit: 60 kW
• Total sanctioned load:

Sanctioned Load = 10×60 = 600kW

After Expansion:

• Expanded number of chargers: 50
• Potential load without load management:

Potential Load = 50×60 = 3000kW

If the hub had expanded without dynamic load management, the required load would have surged to 3000 kW, exceeding the sanctioned load by 2400 kW, requiring costly grid upgrades.

With Dynamic Load Management:

• DLM optimizes power flow, ensuring chargers do not operate simultaneously at peak load.
• By balancing power demand and staggering charging times, DLM kept the peak load within the sanctioned 600 kW.
• Optimized Load Distribution:

Optimized Load = 600kW×50%(average usage factor) = 300kW

• DLM prevented the need for increasing sanctioned load, saving the hub from an estimated ₹1.5 crore in grid upgrade costs (assuming ₹6000 per kW for load extension and infrastructure enhancements).
  
  

Additional Benefits for Fleet Operators

• Environmental Impact: Reducing grid dependency and optimizing charging leads to lower carbon emissions.
• Extended Battery Life: Managing charging cycles prevents overcharging and deep discharges, extending battery lifespan.
• Operational Efficiency: Remote monitoring and control streamline fleet management, reducing downtime and improving performance.