EVE Energy Holds 2nd Commercial‑Vehicle Battery Tech Day, Unveils Open‑Source Battery 4.0: AI Battery

On May 9, 2026, EVE Energy successfully hosted its 2nd Commercial‑Vehicle Battery Tech Day in Huizhou. Centered on the theme “Win — AI Battery Builds a World of Value Co‑Creation”, the event focused on AI‑enabled battery technologies for commercial vehicles and launched the new Open‑Source Battery 4.0: AI Battery product portfolio together with its brand identity.

EVE Energy Holds 2nd Commercial‑Vehicle Battery Tech Day, Unveils Open‑Source Battery 4.0: AI Battery
(Dr. Liu Jincheng, Founder and Chairman of EVE Energy)

The gathering brought together new‑energy commercial‑vehicle industry leaders, experts, industrial‑chain partners and media representatives to explore the intelligent future of batteries for new‑energy commercial vehicles.

The event opened with a keynote speech by Dr. Liu Jincheng, Founder and Chairman of EVE Energy. Around the core theme “Win”, he shared the company’s strategic vision for the AI era. He stated that drawing on profound technological expertise and endorsements from top global clients, EVE Energy will foster synergy between AI and energy technologies to usher in a new era of AI‑powered energy solutions.

Launch of the Open‑Source Battery Brand Identity

Dr. Jiang Jibing, Vice President of EVE Energy and President of the Commercial‑Vehicle Battery Product Line, first interpreted the philosophy behind the “Open‑Source Battery” brand. He explained that inspired by open‑source coding, the brand logo embodies the spirit of circular sustainability, value co‑creation, win‑win collaboration and shared long‑term progress. It also inherits EVE Energy’s corporate vision: Open‑Source Battery, Powering the World Forward.

EVE Energy Holds 2nd Commercial‑Vehicle Battery Tech Day, Unveils Open‑Source Battery 4.0: AI Battery
(Dr. Jiang Jibing, Vice President of EVE Energy and President of the Commercial‑Vehicle Battery Product Line)

Two new open‑source battery system designs were then unveiled. Featuring integrated and faceted styling that balances functional and technological aesthetics, they are adaptable to various heavy‑duty truck models. Dr. Jiang emphasized that with the mission of reshaping global commercial‑vehicle transport value, Open‑Source Battery will cooperate with industry partners to create value and empower end users.

EVE Energy Holds 2nd Commercial‑Vehicle Battery Tech Day, Unveils Open‑Source Battery 4.0: AI Battery
Appearance of the all‑new Open‑Source Battery systems

Technological Upgrade Has Become Imperative

Following this, Dr. Huang Hongliang, Domestic Sales General Manager of EVE Energy’s Commercial‑Vehicle Battery Product Line, delivered a presentation on market trends for new‑energy commercial vehicles. He pointed out that the sector currently faces three major pain points: complex operating scenarios, high operational consumption and unclear return‑on‑value. Conventional commercial‑vehicle batteries are unable to fully address these challenges. Intelligence has become the core driver of high‑quality industrial development, making technological upgrading of commercial‑vehicle batteries inevitable.

EVE Energy Holds 2nd Commercial‑Vehicle Battery Tech Day, Unveils Open‑Source Battery 4.0: AI Battery
Dr. Huang Hongliang, Domestic Sales General Manager of EVE Energy’s Commercial‑Vehicle Battery Product Line

Launch of Open‑Source Battery 4.0: AI Battery

The highlight of the event was the comprehensive introduction of Open‑Source Battery 4.0: AI Battery by Dr. Jiang Jibing — a forward‑looking technology and product solution.

Redefining batteries from an “energy life unit” to an “energy intelligent agent” through the core capabilities of full perception, deep cognition and self‑evolution, AI Battery adapts to all commercial‑vehicle scenarios and serves as the optimal battery solution for new‑energy commercial vehicles.

  • Full Perception: Powered by AI battery chips, built‑in sensors and wireless transmission technologies, it monitors real‑time internal battery status. It integrates data from vehicles, cloud platforms and user demands to establish multi‑dimensional sensing capabilities.
  • Deep Cognition: Collaborating with cloud‑based large AI models, it enables in‑depth analytical thinking. It achieves precise dynamic range estimation and builds an Energy Map to customize optimal transport strategies for every trip.
  • Self‑Evolution: Continuously learning user driving habits and road conditions via cloud models, it optimizes power strategies in real time, proactively warns of potential faults and performs self‑repair to comprehensively boost operational efficiency.

Built on the three pillars of full perception, deep cognition and self‑evolution, AI Battery increases operating income and residual battery value while lowering initial purchase and operational costs for commercial vehicles, breaking the economic limits of traditional batteries. Supported by adaptive adjustment, self‑diagnosis and self‑repair functions, it achieves near‑zero failures, 100% precise control and optimized route planning, enhancing users’ emotional well‑being.

EVE Energy Holds 2nd Commercial‑Vehicle Battery Tech Day, Unveils Open‑Source Battery 4.0: AI Battery
Demo of Open‑Source Battery 4.0: AI Battery

EVE Energy released one new cell and two system products under the AI Battery lineup:

EVE Energy Holds 2nd Commercial‑Vehicle Battery Tech Day, Unveils Open‑Source Battery 4.0: AI Battery

The LM815 cell features an ultra‑large 815 Ah capacity integrated with pressure, temperature and EIS intelligent sensing, embodying the concept of big battery, greater intelligence.

EVE Energy Holds 2nd Commercial‑Vehicle Battery Tech Day, Unveils Open‑Source Battery 4.0: AI Battery

The LM815‑605 kWh and LM815‑640 kWh systems, tailored for rear‑mounted and under‑chassis installation respectively, are one tonne lighter than comparable market products. They deliver leap‑forward performance metrics including >90% energy retention without heating at −30 °C, <2% full‑range SOC error and >99% fault prediction accuracy.

This article is reproduced from the source and published by ctinsa with authorization. The views do not represent the position of Chinese Truck Review. Please contact the original author for reprinting.
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