Check out the gallery from our recent conference attendance

Experienced content writer with over 6 years of experience in the energy sector and many industry-related publications released.

Gabriela Stawiarska

The 38th International Electric Vehicle Symposium gathered the global eMobility community in some great numbers. Solidstudio was proudly there as a 

Sweden, Germany, France, the Netherlands, and Norway

Our representatives had the opportunity to share some thought leadership across 

Agora Session: Smarter Software Strategies for EV Charging

Smarter Software Strategies for EV Charging: The Case for Ownership and Operational Security

In the Agora Session, Andrzej, our Senior eMobility Consultant at Solidstudio, tackled one of the most pressing dilemmas in modern EV infrastructure: 

the trade-off between control and convenience in software acquisition

He challenged the overreliance on third-party SaaS platforms in the eMobility sector, urging operators to rethink the long-term sustainability of such models.

 Ownership of critical software platforms isn’t just a business preference—it’s a matter of operational resilience and market differentiation

As hardware becomes increasingly commoditized, 

software emerges as the true competitive differentiator

platform ownership is key to unlocking that potential

Main Stage Keynote Panel -Connected EVs & the Role of Data

Connected EVs: Is Data Changing the Electric Driving Experience?

On the conference’s main stage, our CEO Paweł Małkowiak joined industry leaders to explore how data connectivity is reshaping the EV experience for users and operators alike.

In a standout moment, Paweł addressed the critical role of 

AI and data integrity in the eMobility ecosystem.

“Electromobility is a network of many interconnected entities. Data is collected and transmitted across multiple levels—from charging stations, through operators and energy providers, to end users. The quality of digital data is only as strong as the weakest link in the entire chain. Consequently, AI solutions must match this quality. Artificial Intelligence will have its place in the industry only if it is thoughtfully designed and goal-driven—not just a buzzword-filled add-on.”

At Solidstudio, we’re super happy that we get to bring the world of digital solutions closer to a broader EV-focused audience. By advocating for smarter, more secure, and more autonomous software strategies, the team continues to influence how the EV charging sector evolves - 

putting innovation and ownership at the center of the journey

An introduction to our series uncovering some of the use-cases of AI technology in eMobility.

Krzysztof is our Head of Products and he leads the technical development behind the suite of our ready-made solutions. Throughout the years in Solidstudio, he gained an invaluable insight into the eMobilty industry’s requirements and is now more than qualified to share his knowledge with others.

Krzysztof Ciombor

Recently, even limited access to the Internet seems what might be enough to get bombarded with the latest breakthroughs and leaps forward in terms of Artificial Intelligence and its progression into formerly AI-pristine spheres. While vigorous debates about its potentially hazardous nature ensue all over social media, AI creators and enthusiasts launch more of said tools into the digital world, leaving them there to stay.

As much as it only recently became such a big topic (especially one that made it outside of the purely-tech environment), Artificial Intelligence has been powering a good chunk of the technology known for years. From autonomous vehicles to facial recognition software to voice assistants like Alexa or Siri, AI has morphed from a niche concept into something we get used to using on a daily basis. Even when browsing the web, AI is used to customize the experience and provide everyone with tailored ads. So, while there are plenty of legitimate worries about its potential misuse in the future, it is undeniable that AI has become an everlasting part of our lives.

At this point many people can't help but wonder just how far AI has evolved since its conception, and where it can go from here. As of now, many AI tools are still being developed to help businesses automate mundane tasks or help them achieve new heights in customer service. While this is an incredible use for AI, one could imagine that the possibilities are more far-reaching than what we know today.

What really is Artificial Intelligence? And how does AI work?

Artificial Intelligence is a branch of computer science that focuses on creating intelligent machines that are capable of completing tasks in the same way as humans (or rather as close to it as it gets). Today, AI is used in many different industries, from finance to healthcare and, since it’s constantly evolving, researchers find new ways to apply the technology in different fields.

Artificial Intelligence's impact on the world is wide-reaching, from powerful web search engines like Google to user recommendations powered by tech giants such as YouTube and Amazon. AI has even made strides in understanding complex human speech patterns found in devices like Siri and Alexa. Creative applications of this technology can be seen with projects including ChatGPT and AI art.

AI itself can be broken down into two main categories: narrow AI and general AI. Narrow AI focuses on specific tasks related to a certain industry or problem, such as driving a car or playing chess. General AI is focused on more complex tasks, such as understanding natural language and problem-solving.

As AI develops and evolves, its definition is shifting to keep up with the times. What was once considered "intelligent" can no longer be included in this category; for instance, optical character recognition has become an ordinary part of life that falls outside of what we think about when talking about Artificial Intelligence. This shift is known as the AI effect – a concept which highlights how quickly technology advances

In fact, the scale of the entire undertaking reached a level where there are subdomains to Artificial Intelligence, closely related to it, but  often classified separately. Machine learning is one of them.

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.  The goal of machine learning is to create algorithms that can receive a set of data and use it to learn from the data and make predictions about other data.

The most common method used in machine learning is supervised learning, which requires labeled datasets for training. Labeled datasets are datasets with known input/output relationships, such as images with their corresponding labels. The machine learning algorithm will use these labeled datasets to learn the relationship between input and output data, allowing it to predict outputs for new datasets.

Other methods of machine learning include unsupervised learning, reinforcement learning and semi-supervised learning. Unsupervised learning allows the computer to detect patterns in a dataset without being given labeled data to learn from. Reinforcement learning is based on rewards and punishments, where the algorithm learns by trial and error, gradually improving its accuracy as it receives feedback from its environment. Semi-supervised learning is a combination of supervised and unsupervised learning, which uses both labeled and unlabeled datasets for training.

Artificial Intelligence in eMobility – the Possibilities

As electric vehicles become mainstream and the supporting infrastructure grows in complexity, Artificial Intelligence may no longer be just a “nice-to-have” innovation – it's slowly but steadily becoming foundational to scaling, optimizing, and securing the entire eMobility ecosystem.

From intelligent energy management to fraud detection in charging networks, AI is being woven into the very fabric of how we move, charge, and operate in a cleaner transportation future. Let’s explore how AI continues to unlock new possibilities in eMobility.

Smart Battery Management and Health Forecasting

Battery health is at the heart of EV performance and user trust. AI-powered Battery Management Systems (BMS) are shifting from reactive to predictive. Instead of simply monitoring current performance, AI analyzes vast datasets – temperature trends, charge/discharge cycles, driving behavior, and even external conditions – to forecast degradation and adapt usage accordingly.

This means longer battery lifespans, fewer unexpected breakdowns, and more accurate range predictions – key factors in improving customer satisfaction and reducing warranty-related costs for manufacturers.

One of the most impactful applications to emerge from Artificial Intelligence is predictive maintenance. By analyzing charging station logs, energy consumption patterns, and environmental inputs (like temperature or grid status), AI can detect subtle deviations from normal operation.

 they become failures – reducing downtime, maintenance costs, and improving the overall reliability of EV charging infrastructure.

Charging Session Monitoring & Fraud Prevention

In an era where digital fraud is evolving rapidly, AI plays a crucial role in safeguarding charging networks. Advanced anomaly detection models can:

Spot cloned RFID tokens used across stations in real-time

Identify software tampering or unauthorized firmware changes

Detect irregularities in payment patterns or charging behavior

Such capabilities are vital for maintaining user trust, reducing revenue leakage, and ensuring operational integrity.

Infrastructure Planning & Grid Load Balancing

AI excels at pattern recognition and prediction – which is incredibly useful for planning charging infrastructure deployment. By analyzing historical charging behavior, traffic flows, and energy grid data, AI systems can recommend where to place new charging points and predict future load peaks.

In the long term, this contributes to more balanced energy consumption, fewer grid overloads, and a better overall user experience.

Real-Time Route Optimization and Energy Efficiency

AI-driven route planning tools can do more than just avoid traffic – they now consider terrain, current battery state, temperature, and even the availability of fast chargers en route. The result? Efficient paths that reduce range anxiety and optimize energy use, especially for fleet operators looking to cut costs and emissions.

Future Outlook: AI as the Nervous System of eMobility

As AI becomes more deeply embedded in every layer of eMobility – from vehicle systems to backend charging operations – it's transforming from a tool into a decision-making layer. A few additional AI use cases already being piloted or envisioned include:

: Predicting electricity prices and charging behavior to offer cost-efficient, real-time pricing models.

: Managing two-way communication between EVs and the grid for optimized energy flows.

: From voice assistants to route suggestions based on daily habits and calendar events.

Artificial Intelligence in the eMobility digital ecosystem

Software within the EV charging industry put together by Paweł Małkowiak

After founding Solidstudio, Pawel was an originator in terms of pursuing expertise in eMobility. With the build-up of a solid knowledge-base on industry’s needs & wants, he now keeps a close eye on products’ development. He’s also hugely responsible for the business’ side and designs the business models for our products.

Paweł Małkowiak

The topic of software has finally become an integral part of conversations within the realms of eMobility. This was greatly proved during this year’s ICNC (one of the most prominent EV-related conferences in Europe) where the word “software” has been repeated on a continuous loop including by those, who are not directly involved in the IT businesses on a daily basis.

However, while the awareness grows, there’s still some room for improvement in terms of software acknowledgment and recognition. As the industry continues to evolve and innovate, addressing this gap can pave the way for more robust and efficient solutions in the world of electric vehicles and charging infrastructure.

With such a vision in mind, a while ago I started a series of LinkedIn posts touching upon this subject. As well-received as they were, they quickly became a lengthy piece.

, particularly in charging networks. These networks, especially when equipped with intelligent capabilities, are often referred to as "smart," and this intelligence is largely attributed to the sophisticated backend platforms that facilitate seamless data exchange between electric vehicles, charging stations, and energy providers. 

 harness the power of these software solutions to effectively manage entire networks of charging stations from a remote location. This level of control ensures the uninterrupted functionality of charging stations, even during periods of high demand or when encountering minor operational issues. It's through these software-driven systems that the eMobility industry is empowered to provide reliable and efficient charging services to electric vehicle users.

More detailed view on how software powers eMobility can already 

Software in eMobility - the broader perspective

While the answer to the question ‘how’ is relatively obvious for many, a lot more unknowns appear the moment one tries to dig a little deeper into the topic. This is where this ebook steps in with a mission to help some get a better understanding of what really happens in the tech background of EV charging.


In the ebook, I cover various important aspects of software within the eMobility industry, including:

Why does software matter in the sphere of eMobility?

What are the involved entities, and what digital solutions do they use?

What are the biggest challenges in creating EV charging software solutions?

What is the role of internal IT departments in EV charging companies?

What are the benefits of a clear separation between CPO and EMSP products?

Explore how software drives eMobility, from managing EV charging networks to tackling key industry challenges in our in-depth ebook.

Exploring EV Charging Software - the ebook

A recent hot EV topic straight from the USA uncovered.

Being an eMobility leader in various projects across multiple startups, Piotr was responsible for OCPI and OCPP integration as well as EMP and CPO platforms development. With extensive expertise in the open standards field and eMobility tech solutions, he is leading teams of experienced developers and contributing with invaluable knowledge and experience.

Piotr Majcher

The National Electric Vehicle Infrastructure (NEVI) Formula Program, established by the Bipartisan Infrastructure Law (BIL), represents a key component of the U.S. federal government’s strategy to support a nationwide transition to electric vehicles (EVs). NEVI aims to create a comprehensive, equitable, and accessible EV charging network across the country, addressing gaps in infrastructure while fostering resilience and convenience. With federal funding and guidance, the program is designed to reduce emissions, increase energy security, and provide economic opportunities through EV adoption.

The U.S. eMobility industry has experienced significant growth due to heightened environmental awareness and supportive policies. While EV sales have surged, the supporting infrastructure—especially in rural areas, underserved communities, and critical long-distance travel routes—remains underdeveloped. The NEVI program addresses these needs by enabling states to deploy EV charging infrastructure strategically, helping to eliminate barriers to EV use and ensure a reliable nationwide network for all Americans.

The NEVI Formula Program, launched with the BIL on November 15, 2021, allocates $5 billion over five years to develop a cohesive national EV charging network, with initial focus on Alternative Fuel Corridors (AFCs) along U.S. interstates. This network, particularly critical along interstate routes, aims to enhance the EV user experience by reducing "range anxiety." States are encouraged to work closely with energy agencies, local governments, private sectors, and communities to create infrastructure that is not only efficient but also meets diverse needs and promotes equitable access. The program’s ultimate goal is to ensure that drivers across the U.S. have convenient, reliable access to charging stations, thus enhancing the accessibility and reliability of EVs as a primary transportation option​.

The NEVI Formula Program’s $5 billion budget is allocated through an annual, formula-based approach. Federal funds cover 80% of project costs, with states or local entities responsible for the remaining 20%. States have flexibility to meet this match requirement with state funds, private investments, or other approved sources. NEVI also allows states to combine NEVI funds with additional federal programs, such as the Congestion Mitigation and Air Quality (CMAQ) program, to optimize resource use and expand the reach of EV infrastructure. Additionally, a unique aspect of the NEVI program is a 10% annual set-aside of funds that may be directed toward discretionary grants aimed at supporting localities that need extra assistance, thus facilitating targeted support in areas with specific needs​.

Each state is required to submit an annual EV Infrastructure Deployment Plan outlining how they intend to use their NEVI allocations. Plans must align with NEVI guidelines and undergo approval from the Federal Highway Administration (FHWA). These plans must address key elements such as the strategic siting of charging stations, coordination with local stakeholders, public engagement, adherence to NEVI standards, and compliance with environmental regulations. Deployment Plans also need to define five-year objectives, including measurable targets for charging stations and deployment timelines, to promote both immediate and sustained growth in EV infrastructure. The latest update emphasizes streamlined plan updates and the inclusion of long-term vision to help meet both state and national goals​.

To receive NEVI funding, projects must be publicly accessible and meet rigorous technical and operational standards, such as minimum power levels, charger types, and network interoperability. Projects should be located within one mile of designated AFCs until the corridor is certified as fully built out, ensuring widespread access to reliable charging facilities. Additionally, NEVI funds can be used for projects that support accessibility to EV stations, such as signage, traffic control devices, and workforce development initiatives to maintain long-term station functionality. Notably, the guidance specifies detailed technical standards that ensure reliability, efficiency, and interoperability, helping to build a consistent experience for users across the country​.

The NEVI program is overseen by the FHWA in collaboration with the Joint Office of Energy and Transportation. This administration involves providing states with technical support, monitoring program compliance, and tracking outcomes such as fund utilization, station deployment, and accessibility of charging networks. Annual reports on project progress are required from each state to maintain accountability. NEVI also prioritizes data sharing, network interoperability, and cybersecurity to ensure a resilient infrastructure. Furthermore, the program is committed to inclusivity, integrating civil rights considerations to guarantee equal access and opportunities within the EV charging network​.

The Joint Office offers various resources to support states, including data on existing station locations, tools for demand modeling, and templates for public engagement. States are also encouraged to use the Justice40 Initiative screening tool to evaluate potential benefits to disadvantaged communities, ensuring that infrastructure deployment aligns with environmental justice goals. Technical assistance and available tools support states in addressing challenges related to equitable deployment, public engagement, environmental compliance, and the overall sustainability of EV infrastructure, making the NEVI program a comprehensive resource for states in their electrification efforts​.

Alternative Fuel Corridors and Their Role in NEVI

Alternative Fuel Corridors (AFCs) are strategic locations designated by the Federal Highway Administration (FHWA) in accordance with 23 U.S.C. 151. These corridors support the installation of infrastructure for EV charging, as well as hydrogen, propane, and natural gas fueling. The AFC network spans major highways nationwide, addressing key areas for reducing greenhouse gas emissions and improving mobility for both passenger and commercial vehicles utilizing alternative fuels.

The FHWA continuously updates and redesignates these corridors in partnership with state and local officials, responding to changes in technology, market adoption, and infrastructure expansion. Importantly, AFC designations have become increasingly significant under the Bipartisan Infrastructure Law, which ties them directly to funding eligibility for both the NEVI Formula Program and the Charging and Fueling Infrastructure Discretionary Grant Program. This connection enables BIL-funded investments to target the most impactful locations for infrastructure deployment, supporting the U.S. goal of a nationwide network of 500,000 EV chargers. This network will:

Accelerate equitable adoption of EVs, benefiting those without reliable home charging options;

Lower transportation-related emissions, helping the U.S. achieve net-zero emissions by 2050;

Position U.S. industries at the forefront of global transportation electrification while creating union jobs that cannot be outsourced.

By prioritizing AFCs, the NEVI Formula Program ensures that infrastructure development aligns with both immediate needs and long-term national goals, fostering sustainable mobility solutions across diverse regions and communities​.

The NEVI Formula Program is a transformative initiative in the push to expand EV infrastructure across the United States. By providing targeted funding and strategic deployment guidance, NEVI is bridging infrastructure gaps and supporting rapid EV growth across regions and communities. This program aligns with the Biden-Harris Administration's climate objectives, and it helps secure the U.S. position as a global leader in sustainable transportation. Working in tandem with states, local partners, and diverse stakeholders, the NEVI program will enable a cleaner, more resilient transportation network, fostering sustainable and inclusive mobility for all Americans.

EVS38: Post-Conference Note and Snapshots

24 JUNE 2025 • 5 MIN READ

Agora Session: Smarter Software Strategies for EV Charging

Main Stage Keynote Panel -Connected EVs & the Role of Data