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Spark EV Technology

Spark provides personalized range prediction software for electric and hybrid vehicles, utilizing machine learning algorithms that analyze vehicle data, user behavior, and route information. This technology enhances journey accuracy, alleviating range anxiety and optimizing battery utilization for improved vehicle efficiency.

Newmarket, CanadaFounded 201771K+ followers
Updated 20 months ago

Funding

$343.3K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

LC
Funding rounds are not available yet.

Founders

Product

Problem

Electric and hybrid vehicle drivers often experience "range anxiety" due to inaccurate estimations of remaining driving distance, leading to inefficient battery usage and a lack of trust in EV capabilities. Existing in-vehicle range prediction systems often fail to account for individual driving styles, environmental factors, and real-time route conditions, resulting in unreliable and inconsistent range estimates.

Solution

Spark provides personalized range prediction software for electric and hybrid vehicles, utilizing machine learning algorithms to analyze vehicle data, driver behavior, and route information. The technology enhances journey accuracy by creating bespoke predictions tailored to individual driver profiles, alleviating range anxiety and optimizing battery utilization. Spark's Software Development Kits (SDKs) integrate into existing instrument clusters or IVI displays, providing data for range display numbers, route prediction, points on a map, or map overlays. The system maximizes the utilization of a vehicle’s battery capacity, reducing battery aging and enabling a more cost-efficient system design.

Target Audience

Spark's primary customers are Automotive OEMs, Tier 1 suppliers, and technology integrators working on electric and hybrid vehicles of all sizes.

Features

  • Patented machine learning algorithm for best-in-class range prediction accuracy.
  • SDKs adaptable to any vehicle environment, deployed through the cloud, in-vehicle, or via mobile (Android Auto and Apple CarPlay).
  • Integration with instrument clusters and IVI displays for presenting range data.
  • Real-time adjustments based on vehicle data, user behavior, and route information.
  • Maximizes battery utilization, reducing battery aging.
  • Universal installation capabilities for passenger vehicles, commercial vehicles, and micromobility solutions.
This profile is AI-generated and may contain inaccuracies.