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DeepSim improves hybrid car range with a software update

For electric and hybrid vehicle manufacturers the top key performance indicator (KPI) is range. The minds.ai DeepSim platform was used to create controller software which managed the power source (IC engine vs battery). One mode maximized economy and the other maximized performance. Both modes resulted in less fuel consumption and higher battery charge vs. default values. See project brief here.

DeepSim RL-Builder uses deep reinforcement learning to create embedded controller software (DeepSim Solutions) to improve performance across many use cases and verticals while also reducing R&D time. Contact us to find out more about how DeepSim can deliver faster time to market and superior performance.

Battery charge improvement
Battery charge improvement
Solution schematic
Solution schematic

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