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V-Hola's Approach to Energy Efficiency in Electric Vehicles

Tackling Range Anxiety and Cost Concerns

Electric vehicles (EVs) face hurdles like range anxiety and high battery costs, which can make up 30% to 40% of an EV's total cost.  Increasing battery capacity is expensive, around $150 of net cost per 1 kWh. This raises concerns for environmental sustainability, prompting manufacturers to seek ways to reduce rather than increase battery size.

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The Efficiency Challenge

Efficiency in EVs is vital, but achieving it is complex due to high number of energy consumers (dozens), some connected to high voltage battery and others to low voltage one, each supplied by different Tier 1 suppliers and interconnected intricately. Energy consumption is influenced by various factors like vehicle behavior and road conditions, which are hard to predict or measure accurately in a lab. Currently, up to 20% of energy consumption comes from low voltage systems, expected to rise to 40% with autonomous driving and ADAS, without any management capabilities. Optimizing energy use requires manual, time-consuming analysis, mostly done stationary in labs and hardly feasible while driving.

Our Unique and Innovative Approach to the Challange

Our approach to these challenges is achieving Energy Consumption Optimization and Predictive Maintenance, by identifying Anomalies and Inefficiencies in energy flow, through analysis of Electromagnetic Fields (EMF) around Energy Consumers in an Electric Vehicle.

DALL·E 2024-02-23 22.43.37 - Create a photorealistic image of an electric motor, including
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