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Boosting EV range by 40%, PurismEV's AI energy efficiency system eliminates range anxiety

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PurismEV CEO Gigi Huang and COO Ming-hsuan Chu. Credit: PurismEV

Electric vehicle (EV) makers exert every effort to resolve range anxiety by boosting the EV range by either increasing the battery output or decreasing the power consumption. As opposed to today's commonplace approaches of raising the battery capacity, Taiwan-based startup PurismEV has developed an AI-enabled adjustment system that improves the EV battery and motor efficiency based on driving habit analysis, thereby increasing the EV range by more than 40%. The system provides a quick solution for automakers, ride-sharing fleets, and logistics companies with a limited budget to optimize their operating costs.

According to PurismEV COO Ming-hsuan Chu, raising the battery capacity may increase the EV range but it also adds to the vehicle's cost and weight. A smarter approach is to both increase the battery energy efficiency and decrease the power consumption. PurismEV's solution performs automated EV system calibrations based on driving habits and throttle control to thereby significantly boost the EV range with no need for larger battery capacity.

As a seasoned veteran in the motorcycle industry, Chu started her career in the motorcycle component import/export business, searching for suitable Taiwan-made products for foreign motorcycle manufacturers. She discovered the enormous development potential of EV components after receiving a big order. This motivated her to found PurismEV with Gigi Huang, who has abundant experience in EV batteries. Joining forces, they endeavor to develop solutions that enhance EV energy efficiency while taking costs into consideration.

In charge of the startup's product R&D, Huang designed PurismEV's AI energy efficiency solution to comprise two elements – an in-vehicle system and a cloud-based platform. The in-vehicle system collects the throttle and the driver's behavior data and adjusts the throttle responses according to machine learning algorithms. The collected data is forwarded to PurismEV's cloud platform with built-in digital twin models with the following features: 1) AI-based battery and motor degradation prediction, 2) battery safety and health prediction, and 3) driving habits analytics and creation of optimized control instructions. All these data mentioned above are then sent back to the in-vehicle system to perform optimized vehicle control, thereby boosting efficiency and safety.

Compared to conventional fleet management systems, PurismEV's solution delivers more on-target and effective energy efficiency enhancements. Conventional fleet management systems have the in-vehicle computer log the data collected from the throttle and brake sensors which is downloaded from the vehicle after it returns to the base. The data is then analyzed and based on the results, drivers are assisted automatically to develop better driving habits, which is thanks to the unique dynamic calibrations done by PurismEV. There are two EV throttle control modes generally used by vehicle OEMs: Eco mode with power limitation and fixed throttle response curve, both of which could only deliver between 17% to 19% reduction in power consumption.

PurismEV's solution dynamically adjusts the throttle curve based on software calculations of motor operating conditions detected by the sensor. The dynamic calibrations taking into account real-time data of the driving scenario, driver behavior and motor condition enable the motor to output a constant torque. Field test results indicate PurismEV's solution achieves over 40% energy savings. Moreover, automated calibrations are performed by the system with no driver interference, which ensures the energy efficiency enhancement is actually delivered without failure.

Apart from the energy efficiency enhancement, PurismEV's product development process is another noteworthy feat. Both co-founders are seasoned veterans in the motor vehicle business. Huang, in charge of system R&D, drew on his practical experiences and leveraged Taiwan's complete supply chain resources to develop PurismEV's solution in just ten months, from design to commercialization. PurismEV has also secured a stable component supply. With ready access to components on the market, PurismEV has full control of the costs and volume production process.

PurismEV operates two business models. The in-vehicle system is provided on a one-time sale basis while the cloud service is offered on an annual subscription basis. Its target customers include ride-sharing service operators and logistics companies with their own fleets. Its solution has been adopted by a major motorcycle ride-sharing service provider in Taiwan for trial purposes, proven to deliver over 40% energy savings as promised. As part of its efforts to expand globally, PurismEV has made itself seen on multiple occasions in markets abroad and is actively engaging with European and American customers to broaden its reach.

With the commercialization underway, PurismEV's solution was recently showcased at trade exhibitions in Italy and the U.S., gaining market visibility. Chu noted that Taiwan-based startups are expanding their presence in the worldwide market thanks to a friendlier environment fostered by government support policies and private-sector investments. The types and quantity of investors are both rapidly growing, giving rise to more opportunities for startups to get funded. Chu hopes for prosperity to continue and invigorate Taiwan's industry, thereby creating a win-win situation for the business sector and the community.

Product system diagram

Product system diagram
Photo: PurismEV

PurismEV throttle control

PurismEV throttle control
Photo: PurismEV