#ChargingPointOperator
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autoevtimes · 3 months ago
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makemydayapp · 1 year ago
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Many customers ask us, which parameters do you use in your #algorithm to calculate the best #route and #chargingschedule in my fleet, or in my #drive? How do you know how to predict the #EV battery in such an accurate way? What are the different constraints that are used in your API algorithm for EV charging optimization?
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So here is our answer for what we consider in our #algorithm and what makes our #solution work:
• Acceleration • Air drag • Availability • Battery consumption • Battery health • Battery model • Breaking • Charging point capacity • Charging point operator • CO2 emission saving • Connector type • Driver behavior • Driver preferences • Driver schedule • Driving conditions • Driving preferences • Ease of usage • Elevation • Fast delivery • Green stations • Hard work • Hours of drive • Maintenance Schedule • Multiple vehicle schedule • Multiple vehicle planning • Next day planning • Obstacles • Optimize for price, distance, or fastest route • POIs (Points of interest) • Pricing • Regeneration usage • Regulations • Rest time • Stop time and duration • The route itself • Time • Tires pressure • Tires types • Traffic • Vehicle battery capacity • Vehicle charging capacity and speed • Vehicle History • Vehicle model • Vehicle model year • Vehicle payload weight • Vehicle speed limit • Weather
We hope we did not forget anything! 😀 Contact us to learn how to use your EVs better!
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