Battery storage is essential for making renewable energy more reliable. It collects extra energy from solar and wind, making electricity ready when needed. However, artificial intelligence (AI) is taking battery management to the next level.
Experts say AI software is now essential for managing large battery systems. Companies are using AI for more than basic tasks. They apply it in energy trading, safety monitoring, and predictive maintenance.
Advanced AI Techniques Enhancing Battery Storage
Battery systems use smart tools like machine learning, deep learning, predictive analytics, and reinforcement learning. They are emerging as a crucial tool in managing large-scale battery systems.
By combining these technologies, AI ensures:
These upgrades provide a steady and reliable power supply, making battery energy storage more viable and cost-effective.
S&P Global says that the need for battery energy storage systems is rising. However, AI integration is still just starting out. However, lithium-ion battery storage developers are well-placed to meet this demand.
Henrique Ribeiro, principal analyst for batteries and energy storage at S&P Global Commodity Insights, says,
“What is likely to happen is, as the market gets more and more competitive and you have more capacity being deployed, it starts to become more difficult to maximize revenues. So these types of tools can be an edge.”
Boosting Battery Storage Safety
Scientists, researchers, and experts consider manufacturing high-quality batteries technically complex and challenging. AI-powered analytics will grow in importance as lithium-ion battery production rises, especially in China and the U.S
One major challenge is the rapid pace of innovation. If manufacturing mistakes are missed, they can cause serious problems. One issue is thermal runaway, which can lead to dangerous fires. However, AI can help detect problems early and prevent costly failures.
Batteries, just like other energy storage systems, also have safety risks. This is very concerning. Yet, this challenge presents an opportunity for the industry to improve safety measures.
Groups like the Industrial Electrotechnical Commission and UL Solutions are raising safety standards. Therefore, managing these risks effectively is crucial to sustaining the industry’s momentum.
As energy storage evolves, AI will help optimize operations. It will also ensure a reliable and sustainable power grid.
Tesla Cybertruck Gets Smarter with Electra’s EVE-Ai™
Electra, a leader in AI-powered battery management, has introduced its advanced EVE-Ai™ technology in the Tesla Cybertruck Cyberbeast at CES 2025. This marks Electra’s second major global showcase, following its debut at MOVE 2024, highlighting its mission to transform energy management for EVs.
Smarter Battery Management with AI
EVE-Ai™ uses artificial intelligence to improve battery performance, predict energy use, and extend battery life. Key benefits include:
-
Accurate range estimates – Reduce errors by up to 20%, helping drivers plan trips with confidence.
-
Longer battery life – Extends lifespan by up to 40% through predictive maintenance and smart charging.
-
Operational efficiency – Detects potential issues early, reducing downtime for EV fleets and energy storage systems.
Translating Data into Action
Recently, Electra has also integrated large language model (LLM) technology into EVE-Ai™, making complex battery analytics easy to understand. Now, anyone—not just experts—can get clear, real-time insights into battery health, risks, and performance.
This is how Electra is making battery management easier and more effective in terms of longevity, performance, and reliability. On a larger scale, its technology is helping businesses, fleet operators, and energy storage managers make smart decisions based on real data—without needing technical expertise.
AI in Battery Storage Dominates in Solar-Rich Markets
An interesting analysis by S&P Global revealed that battery storage is thriving in regions where solar power dominates. This means companies located there are advancing AI technology in battery storage.
For example, in California and Texas, energy storage capacity skyrocketed between 2020 and 2024, surpassing pumped hydro for the first time. Last year, new battery installations even outpaced gas-fired power additions—a major milestone for the industry.
As a result, AI is mostly used in these battery storage systems in solar-rich markets.
During the day, they store extra power at lower costs, then release it in the evening when electricity prices rise. This strategy, known as energy price arbitrage, has been especially profitable in the U.S. Southwest, where it’s also helping reduce dependence on natural gas. As a result, battery storage is rapidly gaining ground over traditional power sources.
UBS Asset Management’s AI Strategy for a Smarter Grid
UBS Asset Management is revolutionizing AI use to boost safety, reliability, and profitability in energy storage. By adopting advanced AI solutions, the company improves battery performance, reduces risks, and ensures long-term efficiency in the growing energy storage sector.
The company has partnered with leading AI firms to optimize its energy storage projects in Texas.
- In 2022, UBS Asset Management acquired four ERCOT battery projects with a total capacity of 730 MW.
- These projects will start operating in 2024 and early 2025, helping the Texas grid stay flexible and reliable.
Mark Saunders, co-head of Energy Storage Infrastructure, UBS Asset Management, said,
“Integrating Avathon’s Industrial AI platform will allow us to focus on operations and asset management tasks that directly benefit the profitability of our commercial battery storage investment projects. The use of generative AI for compliance management alone is a value-add, on top of the many other features.”
ACCURE’s AI-Powered Monitoring and Predictive Maintenance
ACCURE Battery Intelligence is crucial to UBS Asset Management’s energy storage plan. Notably, its AI-driven software integrates seamlessly with existing battery management systems.
The company’s predictive analytics platform monitors battery health and spots potential failures early, and suggests fixes.
- It analyzes data from more than 6 GWh of batteries. This helps find hidden risks that might cause performance issues, such as overheating.
ACCURE recently won the Solar Media Energy Storage Award for “Safety Product of the Year” for its significant contributions to battery safety.
Avathon’s Industrial AI Platform Maximizes Profits
Other than ACCURE, UBS has also partnered with Avathon Inc. and Habitat Energy Ltd. to boost its battery storage investments. Avathon’s Industrial AI platform enhances operational efficiency, cuts costs, and raises profitability.
Notably, their AI helps wind turbines and solar panels run better while cutting maintenance costs by up to 40%. Additionally, by providing a clear picture of battery storage assets, it helps companies stay ahead in a rapidly changing market.
Battery storage is one of the key technologies pushing the energy transition and helping in mitigating emissions. With AI integration, the technology would only become more advanced, accurate, and efficient.
