Mapleview Energy partners with automotive OEMs, industrial battery electric vehicle manufacturers, fleet owners and operators, and auto recyclers to capture the value of overstocked, underused, and end-of-life batteries through second-life energy storage.
Across the electric vehicle ecosystem, large amounts of battery capacity sit outside active use. This includes both surplus inventory that was never deployed and batteries retired from vehicles that no longer meet automotive performance requirements.
While retired EV batteries typically retain 70–80% of their original capacity, and surplus batteries often retain near-original performance, both remain well suited for stationary energy storage applications.
Rather than immediately recycling these batteries, second-life deployments capture years of additional value while reducing the environmental impact of manufacturing new batteries.
Standard operating procedures designed to ensure safe, traceable, and repeatable second-life deployment.
Working with vehicle manufacturers to provide a structured pathway for managing retired, surplus, and non-deployed battery packs through safe second-life repurposing.
Supporting manufacturers of electric mining, construction, and material handling equipment by recovering and repurposing overstocked, underused, and end-of-life battery assets.
Helping commercial, municipal, and transit fleets manage batteries at end of vehicle life, extending asset value through second-life energy storage solutions.
Collaborating with recyclers to divert suitable batteries into second-life applications before materials recovery, improving economics and reducing waste.
Mapleview Energy partnered with MacLean Engineering, a manufacturer of battery-electric vehicles for underground mining, to repurpose overstocked and used battery assets.
The project highlights a scalable model for OEMs and fleet operators to extend battery life through second-life energy storage.
Mapleview Energy manages the full second-life battery value chain — from sourcing and qualification through system integration, AI-optimized grid operation, and end-of-use assessment.