With the skyrocketing preferences for electric vehicles (EVs), the transportation industry is experiencing a gradual shift. With time, diverse industry verticals are infusing the latest technologies, like AI, to match the steps of the transformative digital world, driving gradual growth.
Per the Global Market Insights, in 2022, the valuation of the automotive market elevated to $6 billion with a CAGR of about 55%. Also, the zero-emissions corporate concept and rising government pressure are pushing fleets to pace up EV adoption. Witnessing this, businesses in the automotive sector have kickstarted bending over backward to bring impactful transformation and advancements embedding AI in EV fleet management solutions leading to varied modifications and shifts.
This blog will examine how artificial intelligence impacts EV fleet management solutions and what improvements and adaptations we can expect in the approaching era.
Understanding EV Fleet Management App
An app that plays a vital role in managing many commercial electric vehicles is named EV fleet management app. Such apps monitor all vehicle fleets, their behavior, and access performance and ensure seamless business operations.
How Does it Work?
Leveraging GPS technology, EV fleet management offers constant, real-time updates about the exact location of the fleet assets. Besides, the smart fleet management system performs as below:
- Give an estimate of how much time EV takes to charge or discharge entirely.
- Let the owner know about the completed EV jobs and upcoming ones.
- Identify erroneous fleets and resolve them right away.
- Alerts repeatedly about the fault fleets to avoid any major problems.
- Warn about the violation of driving practices.
- Show past and present EV battery charging status.
- Give real-time updates about the EV range.
- Control electric fleets remotely.
- Conduct battery management
Benefits of EV Fleets Management App – Why Should Companies Choose EV Fleets
Companies usually pick EV fleets over other legacy ones with diesel or petrol assets.
1. Improved Environment
Electric vehicles lead to quieter and more seamless than petrol- or diesel-driven vehicles. This boosts their adoption and makes the ambiance and local areas less polluted.
2. Lower Maintenance Costs
Traditional engines demand more maintenance compared to e-vehicles holding more moving parts. This states EVs are more prone to parts damage and will need frequent repair.
3. Improved Reputation
By lowering emissions and preferring EV fleets, businesses can showcase their social responsibility, which will, in turn, boost their reputation.
4. Financial Investment
Business owners and people looking to buy electric vehicles or switch their traditional fleet to EVs drive increased financial incentives and grants, like grants for workplace EV charging points. Also, EVs arrive with other benefits, such as 0% road tax until 2025.
The Future Landscape of AI in EV Fleet Management Apps
Looking ahead toward the prospects of AI in electric vehicle (EV) fleet management apps, we will put forth some expected expansions revealing how AI revamps the way EV fleets are optimized, managed, and operated.
- Predictive Maintenance: With AI, EV fleet managers can predict the maintenance status of EVs by accumulating and analyzing data from vehicle diagnostics and sensors. With smart fleet management solutions, one can identify potential problems minimizing repair costs and downtime.
- Route Optimization: AI algorithms can act as an ultimate rescuer in improving the EV fleet’s route planning, considering varied factors, like traffic conditions, charging station Finder, real-time weather updates, etc. Besides minimizing energy consumption, it will boost operational efficiency while reducing overall costs.
- Energy Management: AI-enabled smart energy management systems, when integrated into fleet management apps, will exploit renewable energy sources to optimize charging timeslots, downsize operational expenses and environmental impact of the fleet.
- User Behavior Analysis: AI can provide personalized training and incentives for better and eco-friendly driving modes by analyzing drivers’ driving patterns and behavior. It will contribute to EV batteries’ lifespan extension and energy conservation.
- Autonomous EV Fleet Management: When infused in EV fleet management & tracking solutions, AI coordinates and manages all the EV fleets, which may improve safety and cost savings and elevate fleet usage.
- Data Security and Privacy: Being more dependent on AI and data collection, robust security measures implementation into EV fleet management solutions will help protect sensitive customer and fleet data from potential cyber-attacks.
- Real-time Analytics: AI-enabled real-time analytics in real-time fleet tracking and monitoring system will contribute to creating a data-driven culture that will ahead help to make informed decisions, like quickly responding to changing demands and conditions.
- Integration with Smart Cities: Well-integrated with smart city infrastructure, AI-powered EV fleet management solutions easily interact with traffic management systems, urban mobility solutions, and public charging stations.
- Emission Tracking and Reporting: AI holds the caliber to track and measure emissions accurately, which companies find helpful in attaining sustainability targets and aligning with environmental regulations.
- Adaptive Algorithms: By constantly adapting and learning from customer and fleet data, AI algorithms ensure that fleet management processes become more efficient as time passes.
AI Integration Challenges and Solutions
Besides varied benefits, AI-enabled EV fleet management apps can address challenges. Let’s catch up with a few:
1. Legacy Infrastructure
Challenge: Businesses are continuing to use outdated infrastructure.
The best suitable infrastructure and powerful processing caliber of AI systems are required to meet the expected outcomes. But, with legacy and incompetent infrastructure, companies can only process small amounts of information slowly.
Solution: Companies should opt for revolutionized infrastructure, apps, and tools and be constantly updated with the latest trends and technologies.
2. Low-Quality or Insufficient Data
Challenge: Low-quality data (used for training AI systems) leads to inconsistent and biased outcomes.
Well-trained AI systems on high-quality data sets relevant to the factors help control and perform accordingly (based on accumulated data).
Solution: Businesses should leverage high-quality data to prevent biased issues.
3. Overestimating AI Systems
Challenge: Over-trusting technological advancements.
Witnessing the magic of technological evolution, people usually start believing that such advancements are accurate and may never lead to problems. But, data given to AI decides what the outcomes would be. If this data is accurate, it may lead to correct operations; otherwise, the complex learning process of AI systems may result in erroneous outcomes.
Solution: One should break the algorithms; user training will prevent faulty issues and promote transparency.
4. Integration into Current Systems
Challenge: AI implementation in training programs takes much compared to plugins downloaded on learning management systems.
Businesses should keep aside extra time to let the system’s infrastructure, processes, and storage perform properly. Also, employees need to be well-trained to make the best use of new tools, resolve simple issues, and identify when the underperforming phase of the AI algorithm.
Solution: Companies should collaborate with providers with the required AI experience and skills to overcome all such issues and ensure seamless modification to machine learning.
Popular EV Fleet Management Apps & Software
1. Chargepoint – Powerfully Simple EV Fleet Management Software
Key Highlights
- Automate charging
- Fleet management with no guesswork
- Real-time monitoring of EV stations
- Streamline operations
- Boost fuel savings
- Seamless charging management
- Easy integration with any EVs and charging stations
- Proactive management tools
2. Geotab – Electrifying Fleet Perfectly
Key Highlights
- Powerful EV support
- Business requirements based EV model recommendations
- EV fleet optimization
- In-depth charging insights
- Support in-demand and new vehicles
- EV sustainability assessment
- Vehicle Identification for EV replacement
- Potential cost savings forecast
- Real-time EVs management
- Future charging needs mapping
- Real-time charging status
- Explore charging integrations
- Evaluate EV charging costs
3. Uffizio – White Label Electric Vehicle Management Software
Key Highlights
- Tracker independent
- Supports multiple languages
- Advanced EV management platform
- Battery management
- Batter temperature
- EV range tracking
- Immobilization
- Battery charging patterns
- Battery temperature report
- Battery faults
- Driving violations
- Charging status
- EV activity (present and upcoming)
- Alerts for issues
4. RocketFlow – Streamlines Fleet Operations Expectedly
Key Highlights
- Vehicle maintenance management
- Driver behavior monitoring
- Real-time GPS tracking
- Fuel management
- Asset management
- Auto Assignment
- Dispatch and scheduling
- Reporting and analytics
- Real-time updates
- One-click dashboard for every fleet operation
- Vehicle health check and status
- Built-in fuel management system
5. Trackobit – EV Fleet Management to Empower Mobility
Key Highlights
- Battery management system
- Real-time SOC
- Live voltage tracking
- Battery health monitoring
- Smart battery balancing
- Driver behavior analysis
- Maintenance alerts
- Route planning
- Insights and reports
- Directs to the nearest charging station
- Automatic parking alerts
- Unauthorized battery disconnection
- Advanced analytics
- Enhanced vehicle range
- Lesser downtime
How Can EV Fleet Management Apps Be A Profitable Business Idea?
The elevating popularity of EVs has resulted in a boost in demand for innovative EV fleet management apps and other solutions that can make them stay ahead of the pack.
Eyeing to the latest report by GlobeNewsWire, in 2027, the fleet management market is likely to attain $52.4 billion, which was $25.5 billion in 2022.
As the growth probability is much higher, businesses may go the extra mile and opt for EV fleet management app development services from a leading app development company.
Summary: The AI-Driven Revolution
Maintaining an equilibrium between human intervention and technology and locating ethical considerations are mandatory to harness the complete possibility of AI in EV fleet management apps.
Per the predictions, the prospective impact of AI in EV fleet management apps seems to be promising, possibly making electric mobility more efficient, accessible, and environmentally friendly. With the advancement in technology, it will become essential for stakeholders to embed AI power in a way that can reap the maximum impact on the transportation industry.
#23 Chase Tower, opp. Metro Pillar 31,
USA
UK
UK
